Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Ching-An Cheng, Allen Nie, Adith Swaminathan
NeurIPS 2024 | December 2024
NeurIPS Expo Demo
Return to Microsoft Research Lab – Redmond
AI Interaction and Learning
Publications
Publications by Year
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Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers
Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Bahar Sarrafzadeh, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi
Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U) | November 2024
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
Tobias Schnabel, Jennifer Neville
EMNLP | November 2024
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville
ArXiv | August 2024, Vol abs/2408.15549
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent Hecht, Jaime Teevan
ACL | August 2024
On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan
2024 Uncertainty in Artificial Intelligence | July 2024
Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media
Zhuoran Lu, Sheshera Mysore, Tara Safavi, Jennifer Neville, Longqi Yang, Mengting Wan
ArXiv | May 2024, Vol abs/2405.04656
The Use of Generative Search Engines for Knowledge Work and Complex Tasks
Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang
March 2024
TnT-LLM: Text Mining at Scale with Large Language Models
Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan
KDD | March 2024
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Interactive Robot Learning from Verbal Correction
Huihan Liu, Alice Chen, Yuke Zhu, Adith Swaminathan, Andrey Kolobov, Ching-An Cheng
CoRL 2023 Workshop on Language and Robot Learning (LangRob) | November 2023
Simple Data Sharing for Multi-Tasked Goal-Oriented Problems
Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
NeurIPS 2023 | October 2023
Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Longqi Yang
MSR-TR-2023-32 | September 2023
Published by Microsoft
This article is distributed under Creative Commons Attribution- NonCommercial- NoDerivatives License 4.0 (CC BY-NC-ND). https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.
S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs
Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi
September 2023
Stationary Algorithmic Balancing For Dynamic Email Re-Ranking Problem
Jiayi Liu, Jennifer Neville
2023 Knowledge Discovery and Data Mining | August 2023
Workplace Recommendation with Temporal Network Objectives
Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu
2023 Knowledge Discovery and Data Mining | August 2023
Hindsight Learning for MDPs with Exogenous Inputs
Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
2023 International Conference on Machine Learning | July 2023
Towards Modular Machine Learning Pipelines
Aditya Modi, Jivat Neet Kaur, Maggie Makar, Pavan Mallapragada, Amit Sharma, Emre Kiciman, Adith Swaminathan
2023 International Conference on Machine Learning | July 2023
Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs
Susheel Suresh, Mayank Shrivastava, Arko Mukherjee, Jennifer Neville, Pan Li
2023 The Web Conference | April 2023
Neural Approaches to Conversational Information Retrieval
Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell
Published by Springer | March 2023, Vol 44
ISBN: 978-3-031-23079-0
The Information Retrieval Series.
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories
Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett
February 2023
arXiv:2204.06644
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Imagining future digital assistants at work: A study of task management needs
Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman, Jonathan Liono, Johanne R. Trippas, Damiano Spina, Peter Bailey, Nicholas J. Belkin, Paul Bennett, Yongli Ren, Mark Sanderson, Falk Scholer, Ryen W. White, Flora D. Salim
International Journal of Human-Computer Studies | December 2022, Vol 168
Federated Graph Representation Learning using Self-Supervision
Susheel Suresh, Danny Godbout, Arko Mukherjee, Mayank Shrivastava, Jennifer Neville, Pan Li
2210.15120 | October 2022
Published by arXiv
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning
Bogdan Mazoure, Paul Mineiro, Pavithra Srinath, Reza Sharifi Sedeh, Doina Precup, Adith Swaminathan
2022 European Conference on Principles of Data Mining and Knowledge Discovery | September 2022
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
Ji Xin, Chenyan Xiong, Ashwin Srinivasan, Ankita Sharma, Damien Jose, Paul Bennett
ACL 2022 | May 2022
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals
Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao
April 2022
arXiv:2204.06644
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
ICLR 2022 | April 2022
HINT: Integration Testing for AI-based Features with Humans in the Loop
Quanze Chen, Tobias Schnabel, Besmira Nushi, Saleema Amershi
International Conference on Intelligent User Interfaces | March 2022
Lightweight Compositional Embeddings for Incremental Streaming Recommendation
Mengyue Hang, Tobias Schnabel, Longqi Yang, Jennifer Neville
Machine Learning on Graphs, WSDM’22 | February 2022
SummaC: Re-visiting NLI-based Models for Inconsistency Detection in Summarization
Philippe Laban, Tobias Schnabel, Paul Bennett, Marti A. Hearst
Transactions of the Association for Computational Linguistics | February 2022, Vol 10: pp. 163-177
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Adversarial graph augmentation to improve graph contrastive learning
Susheel Suresh, Pan Li, Cong Hao
Advances in Neural Information Processing Systems | December 2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
NeurIPS 2021 | December 2021
Heuristic-Guided Reinforcement Learning
Ching-An Cheng, Andrey Kolobov, Adith Swaminathan
NeurIPS 2021 | December 2021
Recommendations as Treatments
Thorsten Joachims, Ben London, Yi Su, Adith Swaminathan, Lequn Wang
AI Magazine | November 2021, Vol 42(3): pp. 19-30
Less is More: Pre-train a Strong Text Encoder for Dense Retrieval Using a Weak Decoder
Shuqi Lu, Di He, Chenyan Xiong, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tieyan Liu, Arnold Overwijk
EMNLP 2021 | November 2021
Say `YES’ to Positivity: Detecting Toxic Language in Workplace Communications
Meghana Moorthy Bhat, Saghar Hosseini, Ahmed Awadallah, Paul Bennett, Weisheng Li
EMNLP 2021 | November 2021
Universal Search and Recommendation
Paul Bennett
October 2021
Local Factor Models for Large-Scale Inductive Recommendation
Longqi Yang, Tobias Schnabel, Paul Bennett, Susan Dumais
RecSys | September 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma
ACM SIGKDD Conference on Knowledge Discovery & Data Mining | August 2021
A collective learning framework to boost GNN expressiveness for node classification
Mengyue Hang, Jennifer Neville, Bruno Ribeiro
International Conference on Machine Learning | July 2021
Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text
Philippe Laban, Tobias Schnabel, Paul Bennett, Marti A. Hearst
ACL-IJCNLP 2021 | July 2021
Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder
Shuqi Lu, Chenyan Xiong, Di He, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tieyan Liu, Arnold Overwijk
May 2021
Scraps: Enabling Mobile Capture, Contextualization, and Use of Document Resources
Amanda Swearngin, Shamsi Iqbal, Victor Poznanski, Mark Encarnación, Paul Bennett, Jaime Teevan
ACM CHI 2021 | May 2021
Honorable Mention
Towards Decentralized Social Reinforcement Learning via Ego-Network Extrapolation
Mahak Goindani, Jennifer Neville
International Conference on Autonomous Agents and Multi Agent Systems | May 2021
Contrastive Multi-document Question Generation
Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan
European Chapter of the Association for Computational Linguistics (EACL) | April 2021
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul Bennett, Junaid Ahmed, Arnold Overwijk
International Conference on Learning Representations (ICLR) | April 2021
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization
Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao
AAAI 2021 | April 2021
DYMOND: DYnamic MOtif-NoDes Network Generative Model
Giselle Zeno, Timothy La Fond, Jennifer Neville
Proceedings of the Web Conference 2021 | April 2021
The SPACE of Developer Productivity: There’s more to it than you think
Nicole Forsgren, Margaret-Anne Storey, Chandra Maddila, Tom Zimmermann, Brian Houck, Jenna Butler
ACM Queue | February 2021, Vol 19(1): pp. 20-48
Knowledge-Aware Language Model Pretraining
Corby Rosset, Chenyan Xiong, Minh Phan, Xia Song, Paul Bennett, Saurabh Tiwary
February 2021
arXiv:2007.00655
Large-Scale Intent Analysis for Identifying Large-Review-Effort Code Changes
Song Wang, Chetan Bansal, Nachi Nagappan
Information and Software Technology | February 2021, Vol 130
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Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision
Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett
ACL-IJCNLP 2021 | December 2020
A Report on the First Workshop on Document Intelligence (DI) at NeurIPS 2019
Hamid Motahari, Nigel Duffy, Paul Bennett, Tania Bedrax-Weiss
SigKDD Explorations | December 2020, Vol 22(2)
Leveraging Structured Metadata for Improving Question Answering on the Web
Xinya Du, Adam Fourney, Robert Sim, Paul Bennett, Claire Cardie, Ahmed Awadallah
AACL 2020 | December 2020
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett
MSR-TR-2020-49 | November 2020
Published by Microsoft
The participation report of our top non-manual entry in TREC COVID Round 2.
Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling
Zhenghao Liu, Chenyan Xiong, Zhuyun Dai, Si Sun, Maosong Sun, Zhiyuan Liu
Empirical Methods in Natural Language Processing (Findings, Short) | October 2020
Long Document Ranking with Query-Directed Sparse Transformer
Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee, Wei Wang
Empirical Methods in Natural Language Processing (Findings) | October 2020
Text Classification Using Label Names Only: A Language Model Self-Training Approach
Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han
Empirical Methods in Natural Language Processing | October 2020
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables
Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang
Neural Information Processing Systems | October 2020
Survey on Onboarding Software Engineers During a Pandemic
Paige Rodeghero, Thomas Zimmermann, Denae Ford
MSR-TR-2020-36 | October 2020
Published by Microsoft
Feedback-Driven Semi-Supervised Synthesis of Program Transformations
Xiang Gao, Shraddha Barke, Arjun Radhakrishna, Gustavo Soares, Sumit Gulwani, Alan Leung, Nachi Nagappan, Ashish Tiwari
OOPSLA | October 2020
Provably Good Batch Reinforcement Learning Without Great Exploration
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill
2020 Neural Information Processing Systems | October 2020
Debiasing Item-to-Item Recommendations With Small Annotated Datasets
Tobias Schnabel, Paul Bennett
RecSys | September 2020
“Who doesn’t like dinosaurs?” Finding and Eliciting Richer Preferences for Recommendation
Tobias Schnabel, Gonzalo Ramos, Saleema Amershi
14th ACM Conference on Recommender Systems | September 2020
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel, Saleema Amershi, Paul Bennett, Peter Bailey, Thorsten Joachims
Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
An Eye Tracking Study of Web Search by People with and without Dyslexia
Srishti Palani, Adam Fourney, Shane Williams, Kevin Larson, Irina Spiridonova, Meredith Ringel Morris
SIGIR 2020 | July 2020
A Dataset of Dockerfiles
Jordan Henkel, Shuvendu Lahiri, Christian Bird, Thomas Reps
ICSE 2020 | July 2020
An Empirical Study of Software Exceptions in the Field using Search Logs
Foyzul Hassan, Chetan Bansal, Nachi Nagappan, Tom Zimmermann, Ahmed Awadallah
ESEM 2020 | July 2020
CAsT-19: A Dataset for Conversational Information Seeking
Jeff Dalton, Chenyan Xiong, Vaibhav Kumar, Jamie Callan
SIGIR 2020 | July 2020
Contextual Re-Ranking with Behavior Aware Transformers
Chenyan Xiong, Chen Qu, Yizhe Zhang, Corby Rosset, W. Bruce Croft, Paul Bennett
SIGIR 2020 | July 2020
Knowledge Enhanced Personalized Search
Shuqi Lu, Zhicheng Dou, Chenyan Xiong, Xiaojie Wang, Ji-Rong Wen
SIGIR 2020 | July 2020
Learning Calibratable Policies using Programmatic Style-Consistency
Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew Hausknecht
2020 International Conference on Machine Learning | July 2020
Recent Advances in Conversational Information Retrieval
Jianfeng Gao, Chenyan Xiong, Paul Bennett
SIGIR 2020 | July 2020
Tutorial Slides
Working Memory Graphs
Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew Hausknecht
2020 International Conference on Machine Learning | July 2020
Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020
Edgar Meij, Tara Safavi, Chenyan Xiong, Gianluca Demartini, Miriam Redi, Fatma Özcan
Automated Knowledge Base Construction | June 2020
Workshop Proceedings
Few-Shot Generative Conversational Query Rewriting
Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul Bennett, Jianfeng Gao, Zhiyuan Liu
SIGIR 2020 | June 2020
Best Short Paper Award
Active Learning for ML Enhanced Database Systems
Lin Ma, Bailu Ding, Sudipto Das, Adith Swaminathan
SIGMOD 2020 | June 2020
Fine-grained Fact Verification with Kernel Graph Attention Network
Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu
ACL 2020 | June 2020
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
Houyu Zhang, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu
ACL 2020 | June 2020
Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life
Jonathan Liono, Mohammad Saiedur Rahaman, Flora D Salim, Yongli Ren, Damiano Spina, Falk Scholer, Johanne R Trippas, Mark Sanderson, Ryen W. White, Paul Bennett
2020 International Conference on Multimedia Retrieval | June 2020
Analyzing and Learning from User Interactions for Search Clarification
Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul Bennett, Nick Craswell, Susan Dumais
Proceedings of the 43rd international ACM SIGIR conference on Research & development in information retrieval | May 2020
Transformer-XH: Multi-evidence Reasoning with Extra Hop Attention
Chen Zhao, Chenyan Xiong, Corby Rosset, Xia Song, Paul Bennett, Saurabh Tiwary
The Eighth International Conference on Learning Representations (ICLR 2020) | April 2020
Complex Factoid Question Answering with a Free-Text Knowledge Graph
Chen Zhao, Chenyan Xiong, Xin Qian, Jordan Boyd-Graber
The Web Conference 2020 (formerly WWW conference) | April 2020
Generating Clarifying Questions for Information Retrieval
Hamed Zamani, Susan Dumais, Nick Craswell, Paul Bennett, Gord Lueck
The Web Conference 2020 (formerly WWW conference) | April 2020
Improving Learning Outcomes with Gaze Tracking and Automatic Question Generation
Rohail Syed, Kevyn Collins-Thompson, Paul Bennett, Mengqiu Tang, Shane Williams, Shamsi Iqbal, Wendy Tay
The Web Conference 2020 (formerly WWW conference) | April 2020
Leading Conversational Search by Suggesting Useful Questions
Corby Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul Bennett
The Web Conference 2020 (formerly WWW conference) | April 2020
Selective Weak Supervision for Neural Information Retrieval
Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu
The Web Conference 2020 (formerly WWW conference) | April 2020
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
Jiaming Shen, Iris Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han
The Web Conference 2020 (formerly WWW conference) | April 2020
Characterizing Search-Engine Traffic to Internet Research Agency Web Properties
Alexander Spangher, Gireeja Ranade, Besmira Nushi, Adam Fourney, Eric Horvitz
The Web Conference (TheWebConf ’20) | April 2020
On How People Navigate Through Their Personal Web of Things
Dhivya Eswaran, Shamsi Iqbal, Adam Fourney, Shane Williams, Paul Bennett
CHI 2020 Workshop on Speculative Designs for Emergent Personal Data Trails | April 2020
Latent Relation Language Models
Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig
AAAI | February 2020
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations
Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) | February 2020
Toward Activity Discovery in the Personal Web
Tara Safavi, Adam Fourney, Robert Sim, Marcin Juraszek, Shane Williams, Ned Friend, Danai Koutra, Paul Bennett
The 13th ACM International Conference on Web Search and Data Mining (WSDM) | February 2020
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Causal Transfer Random Forest: Leveraging Observational and Randomization Studies
Shuxi Zeng, Emre Kiciman, Denis Charles, Joel Pfeiffer, Murat Ali Bayir
December 2019
NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
Robust Neural Networks for Causal Invariant Features Extraction
Shuxi Zeng, Pengchuan Zhang, Denis Charles, Eren Manavoglu, Emre Kiciman
December 2019
NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
Deep Generalized Method of Moments for Instrumental Variable Analysis
Tobias Schnabel, Andrew Bennett, Nathan Kallus
NeurIPS | December 2019
On Domain Transfer When Predicting Intent in Text
Petar Stojanov, Ahmed Awadallah, Paul Bennett, Saghar Hosseini
NeurIPS Workshop on Document Intelligence | December 2019
Open Domain Web Keyphrase Extraction Beyond Language Modeling
Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk
Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) | November 2019
VERSE: Bridging Screen Readers and Voice Assistants for Enhanced Eyes-Free Web Search
Alexandra Vtyurina, Adam Fourney, Meredith Ringel Morris, Leah Findlater, Ryen W. White
ASSETS 2019 | October 2019
Best Paper Nominee
Interrupted by my car? Implications of interruption and interleaving research for automated vehicles.
Christian P.Janssen, Shamsi Iqbal, Andrew L. Kun, Stella F. Donker
International Journal of Human-Computer Studies | October 2019, Vol 130: pp. 221-233
Mercury: Empowering Programmers’ Mobile Work Practices with Microproductivity
Alex Williams, Harmanpreet Kaur, Shamsi Iqbal, Ryen W. White, Jaime Teevan, Adam Fourney
UIST 2019 | October 2019
Neural Document Expansion with User Feedback
Yue Yin, Chenyan Xiong, Cheng Luo, Zhiyuan Liu
ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR) | October 2019
Towards a Theory of Software Developer Job Satisfaction and Perceived Productivity
Margaret-Anne Storey, Tom Zimmermann, Christian Bird, Jacek Czerwonka, Brendan Murphy, Eirini Kalliamvakou
IEEE Transactions on Software Engineering | September 2019
Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes
Song Wang, Chetan Bansal, Nachi Nagappan, Adithya Abraham Philip
PROMISE 2019 | September 2019
Ten simple rules for helping newcomers become contributors to open projects
Dan Sholler, Igor Steinmacher, Denae Ford, Mara Averick, Mike Hoye, Greg Wilson
PLoS Computational Biology | September 2019, Vol 15
WhoDo: Automating Reviewer Suggestions at Scale
Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Chetan Bansal, Christian Bird, Chandra Maddila, Sonu Mehta, B. Ashok
ESEC/FSE 2019 | August 2019
Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
Chandra Maddila, Chetan Bansal, Nachi Nagappan
ESEC/FSE 2019 | August 2019
Generic Intent Representation in Web Search
Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul Bennett, Nick Craswell, Saurabh Tiwary
The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) | July 2019
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
Frontiers in Big Data | July 2019, Vol 2
Target-Guided Open-Domain Conversation
Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu
Annual Meeting of the Association for Computational Linguistics (ACL) | July 2019
A Social Media Study on the Effects of Psychiatric Medication Use
Koustuv Saha, Benjamin Sugar, John Torous, Bruno Abrahao, Emre Kiciman, Munmun De Choudhury
International AAAI Conference on Web and Social Media (ICWSM 2019) | June 2019
Outstanding Study Design Paper Award
Software Engineering for Machine Learning: A Case Study
Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLIne, Harald Gall, Ece Kamar, Nachi Nagappan, Besmira Nushi, Tom Zimmermann
International Conference on Software Engineering (ICSE 2019) – Software Engineering in Practice track | May 2019
ICSE 2019 Best Paper Award
Studying Preferences and Concerns about Information Disclosure in Email Notifications
Yongsung Kim, Adam Fourney, Ece Kamar
The Web Conference (WWW ’19) | May 2019
Casual Microtasking: Embedding Microtasks in Facebook
Nathan Hahn, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
People and AI See Things Different Implications of Mismatched Perception on HCI for AI Systems
Saleema Amershi, Ece Kamar, Emre Kiciman
Workshop on Human-Centered Machine Learning Perspectives at CHI 2019 | May 2019
The Impact of Web Browser Reader Views on Reading Speed and User Experience
Qisheng Li, Meredith Ringel Morris, Adam Fourney, Kevin Larson, Katherina Reinecke
CHI 2019 | May 2019
An Exploration of Speech-Based Productivity Support in the Car
Nikolas Martelaro, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
Beyond the Code Itself: How Programmers Really Look at Pull Requests
Denae Ford, Mahnaz Behroozi, Alexander Serebrenik, Chris Parnin
In proceedings of the ACM/IEEE Internationl Conference on Software Engineering – Software Engineering in Society (ICSE SEIS) | May 2019
FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services
Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan
International Conference on Software Engineering | May 2019
How Remote Work Can Foster a More Inclusive Environment for Transgender Developers
Denae Ford, Reed Milewicz, Alexander Serebrenik
In proceedings of the ACM/IEEE ICSE 2nd International Workshop on Gender Equality in Software Engineering (GE) | May 2019
Sketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence
Qian Yang, Justin Cranshaw, Saleema Amershi, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
Will You Accept an Imperfect AI? Exploring Designs for Adjusting End-user Expectations of AI Systems
Rafal Kocielnik, Saleema Amershi, Paul Bennett
CHI 2019 | May 2019
Today was a Good Day: The Daily Life of Software Developers
Andre N. Meyer, Earl T. Barr, Christian Bird, Thomas Zimmermann
IEEE Transactions on Software Engineering | April 2019
To appear.
IRJ Special Issue on Knowledge Graphs and Semantics in Text Analysis and Retrieval
Laura Dietz, Chenyan Xiong, Jeff Dalton, Edgar Meij, (as guest editors)
Information Retrieval | March 2019, Vol 22
Learning About Work Tasks to Inform Intelligent Assistant Design
Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Awadallah, Peter Bailey, Paul Bennett, Ryen W. White, Jonathan Liono, Yongli Ren, Flora D. Salim, Mark Sanderson
The Fourth ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019) | March 2019
Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory
Tobias Schnabel, Paul Bennett, Thorsten Joachims
The 12th ACM International Conference on Web Search and Data Mining (WSDM 2019) | March 2019
Understanding Context for Tasks and Activities
Jan Benetka, John Krumm, Paul Bennett
The Fourth ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019) | March 2019
The Effect of Work Environments on Productivity and Satisfaction of Software Engineers
Brittany Johnson, Thomas Zimmermann, Christian Bird
IEEE Transactions on Software Engineering | February 2019
To appear.
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation
Maggie Makar, Adith Swaminathan, Emre Kiciman
AAAI-19 | January 2019
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Creating Better Action Plans for Writing Tasks via Vocabulary-Based Planning
Harmanpreet Kaur, Alex Williams, Anne Loomis Thompson, Walter Lasecki, Shamsi Iqbal, Jaime Teevan
Computer-Supported Cooperative Work (CSCW) | November 2018
How Should Compilers Explain Problems to Developers?
Titus Barik, Denae Ford, Emerson Murphy-Hill, Chris Parnin
ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) | November 2018
Selfies as Social Movements: Influences on Participation and Perceived Impact on Stereotypes
Fannie Liu, Denae Ford, Laura Dabbish, Chris Parnin
In proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW) | November 2018
Multitasking with Play Write, a Mobile Microproductivity Tool
Shamsi Iqbal, Jaime Teevan, Dan Liebling, Anne Loomis Thompson
UIST 2018 | October 2018
Representing and Recommending Shopping Baskets with Complementarity, Compatibility, and Loyalty
Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian McAuley
27th ACM International Conference on Information and Knoweldge Management | October 2018
Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health
Munmun De Choudhury, Emre Kiciman
AI Magazine | September 2018, Vol 39(3)
Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
Emre Kiciman, Jorgen Thelin
1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
Assessing the Readability of Web Search Results for Searchers with Dyslexia
Adam Fourney, Meredith Ringel Morris, Abdullah Ali, Laura Vonessen
The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2018
Calendar-Aware Proactive Email Recommendation
Qian Zhao, Paul Bennett, Adam Fourney, Anne Loomis Thompson, Shane Williams, Adam D. Troy, Susan Dumais
Proceedings of the 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018) | July 2018
Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use
Emre Kiciman, Scott Counts, Melissa Gasser
In Proceedings of 12th International Conference on Web and Social Media (ICWSM-18) | June 2018
Deep Learning with Logged Bandit Feedback
Thorsten Joachims, Adith Swaminathan, Maarten de Rijke
2018 International Conference on Learning Representations | May 2018
Dazed: Measuring the Cognitive Load of Solving Technical Interview Problems At the Whiteboard
Mahnaz Behroozi, Alison Lui, Ian Moore, Denae Ford , Chris Parnin
In proceedings of the IEEE International Conference on Software Engineering – New Ideas and Emerging Results Track (ICSE NIER) | May 2018
“We Don’t Do That Here”: How Collaborative Editing with Mentors Improves Engagement in Social Q&A Communities
Denae Ford , Kristina Lustig, Jeremy Banks, Chris Parnin
In proceedings of the ACM Conference on Human Factors in Computing Systems (CHI) | April 2018
Effects of Individual Differences in Blocking Workplace Distractions
Gloria Mark, Mary Czerwinski, Shamsi Iqbal
2018 ACM Conference on Human Factors in Computing Systems (CHI) | April 2018
Exploring the Role of Conversational Cues in Guided Task Support with Virtual Assistants
Alexandra Vtyurina, Adam Fourney
2018 ACM Conference on Human Factors in Computing Systems (CHI) | April 2018
Supporting Workplace Detachment and Reattachment with Conversational Intelligence
Alex Williams, Harmanpreet Kaur, Gloria Mark, Anne Loomis Thompson, Shamsi Iqbal, Jaime Teevan
2018 ACM Conference on Human Factors in Computing Systems (CHI ’18) | April 2018
Understanding the Needs of Searchers with Dyslexia
Meredith Ringel Morris, Adam Fourney, Abdullah Ali, Laura Vonessen
2018 ACM Conference on Human Factors in Computing Systems (CHI) | April 2018
Characterizing Search in Productivity Software
Horatiu Bota, Adam Fourney, Susan Dumais, Tomasz L. Religa, Robert Rounthwaite
Proceedings of CHIIR 2018 | March 2018
Conjunction of factors triggering waves of seasonal influenza
Ishanu Chattopadhyay, Emre Kiciman, Joshua W. Elliott, Jeffrey L. Shaman, Andrey Rzhetsky
eLife | February 2018, Vol 7: pp. e30756
Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration
Tobias Schnabel, Paul N. Bennett, Susan Dumais, Thorsten Joachims
Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM ’18) | February 2018
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Off-Policy Evaluation For Slate Recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal, Miro Dudík, John Langford, Damien Jose, Imed Zitouni
2017 Neural Information Processing Systems | December 2017
Characterizing and Predicting Enterprise Email Reply Behavior
Liu Yang, Susan Dumais, Paul Bennett, Ahmed Awadallah
Proceedings of the 40th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017) | December 2017
Geographic and Temporal Trends in Fake News Consumption During the 2016 US Presidential Election
Adam Fourney, Miklos Z. Racz, Gireeja Ranade, Markus Mobius, Eric Horvitz
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management | November 2017
ISBN: 978-1-4503-4918-5
Self-Es: The Role of Emails-to-Self in Personal Information Management
Horatiu Bota, Paul N. Bennett, Ahmed Awadallah, Susan T. Dumais
Proceedings of the 2nd ACM Conference on Human Information Interaction and Retrieval (CHIIR ’17) | November 2017
Wildbook: Crowdsourcing, computer vision, and data science for conservation
Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Jason A. Holmberg, Jason Parham, Jonathan Crall, Sreejith Menon, Jon Van Oast, Emre Kiciman, Lucas Joppa
Bloomberg Data for Good Exchange | September 2017
Data Scientists in Software Teams: State of the Art and Challenges
Miryung Kim, Tom Zimmermann, Robert DeLIne, Andrew Begel
IEEE Transactions on Software Engineering | September 2017
Conjunction of Factors Triggering Waves of Seasonal Influenza
Ishanu Chattopadhyay, Emre Kiciman, Joshua Elliott, Jeffrey Shaman, Andrey Rzhetsky
BioRxiv | July 2017
Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence, ® Montreal, QU
Animal Population Estimation Using Flickr Images
Sreejith Menon, Tanya Berger-Wolf, Emre Kiciman, Lucas Joppa, Charles V. Stewart, Jason Parham, Jonathan Crall, Jason Holmberg, Jonathan Van Oast
In Proceedings of 2nd International Workshop on the Social Web for Environmental and Ecological Monitoring (SWEEM 2017) | June 2017
The Language of Social Support in Social Media and its Effect on Suicidal Ideation Risk
Munmun De Choudhury, Emre Kiciman
Proceedings of the International Conference on Web and Social Media (ICWSM-17) | May 2017
Best Paper Award
Managing Uncertainty in Time Expressions for Virtual Assistants
Xin Rong, Adam Fourney, Robin N. Brewer, Meredith Ringel Morris, Paul N. Bennett
Proceedings of the 35th Annual CHI Conference on Human Factors in Computing Systems (CHI ’17) | May 2017
Best Paper Honorable Mention
Web Search as a Linguistic Tool
Adam Fourney, Meredith Ringel Morris, Ryen W. White
Proceedings of WWW 2017 | April 2017
Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media
Alexandra Olteanu, Onur Varol, Emre Kiciman
Proceedings of The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing | February 2017
ISBN: 978-1-4503-4335-0/17/03
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims, Adith Swaminathan, Tobias Schnabel
2017 Web Search and Data Mining | February 2017
Best Paper Award
Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints
Paul N. Bennett, David M. Chickering, Christopher Meek, Xiaojin Zhu
Proceedings of the 10th ACM International Conference on Web Search and Data Mining (WSDM ’17) | February 2017
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Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
December 2016
Appendix to Personas in Practice: Adapting Knowledge Worker Actions to Software Engineer
Denae Ford, Tom Zimmermann, Christian Bird, Nachi Nagappan
MSR-TR-2016-75 | October 2016
Published by Microsoft
Unbiased Comparative Evaluation of Ranking Functions
Tobias Schnabel, Adith Swaminathan, Peter Frazier, Thorsten Joachims
ACM International Conference on the Theory of Information Retrieval | September 2016
Characterizing Cross-Domain Search Behavior
Rishabh Mehrotra, Paul N. Bennett, Susan Dumais, Jaime Teevan
Proceedings of the Second Workshop on Heterogeneous Information Access at SIGIR 2016 (HIA’16) | July 2016
Automatic Identification and Contextual Reformulation of Implicit System-Related Queries
Proceedings of the 39th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’16) | July 2016
Analyzing and Predicting Task Reminders
David Graus, Paul N. Bennett, Ryen W. White, Eric Horvitz
Proceedings of the 24th ACM Conference on User Modeling, Adaptation, and Personalization (UMAP ’16) | July 2016
Best Student Paper
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, Thorsten Joachims
2016 International Conference on Machine Learning | June 2016
Information Dissemination in Heterogeneous-Intent Networks
Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman, Onur Varol
Web Science | May 2016
Towards an Open-Domain Framework for Distilling the Outcomes of Personal Experiences from Social Media Timelines
Alexandra Olteanu, Onur Varol, Emre Kiciman
International Conference on Web and Social Media (ICWSM) | May 2016
Using Shortlists to Support Decision Making and Improve Recommender System Performance
Tobias Schnabel, Paul N. Bennett, Susan T. Dumais, Thorsten Joachims
Proceedings of the 25th International World Wide Web Conference (WWW ’16) | May 2016
Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media
Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar
CHI ’16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems | May 2016
Honorable Mention
Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media
Munmun De Choudhury, Sanket S. Sharma, Emre Kiciman
19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | February 2016
19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
Mining Tasks from the Web Anchor Text Graph: MSR Notebook Paper for the TREC 2015 Tasks Track
Paul N. Bennett, Ryen W. White
Proceedings of the 24th Text Retrieval Conference (TREC ’15) | January 2016
Online and Social Media Data As an Imperfect Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
PlosONE | January 2016, Vol 11
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Building Effective Query Classifiers: A Case Study in Self-harm Intent Detection
Ashiqur R. KhudaBukhsh, Paul N. Bennett, Ryen W. White
Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia | October 2015
Implicit Preference Labels for Learning Highly Selective Personalized Rankers
Paul N. Bennett, Milad Shokouhi, Rich Caruana
Proceedings of the 1st ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2015) | September 2015
Persona-ization: Searching on Behalf of Others
Paul N. Bennett, Alexander Fishkov, Emre Kiciman
Proceedings of the SIGIR 2015 International Workshop on Social Personalisation & Search (SPS’15) | August 2015
International Workshop on Social Personalisation & Search (SPS 2015)
Modeling Website Topic Cohesion at Scale to Improve Webpage Classification
Dhivya Eswaran, Paul N. Bennett, Joseph J. Pfeiffer
(Poster-Paper) Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2015) | August 2015
Crowdsourcing in the Field: A Case Study Using Local Crowds for Event Reporting
Elena Agapie, Jaime Teevan, Andrés Monroy-Hernández
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing (HCOMP-15) | August 2015
Best Paper Award
Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships from Social Media
Emre Kiciman, Matthew Richardson
KDD ’15 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2015
Knowledge Discovery and Data Mining (KDD)
Events and Controversies: Influences of a Shocking News Event on Information Seeking
Danai Koutra, Paul N. Bennett, Eric Horvitz
Proceedings of the 24th Annual International World Wide Web Conference (WWW ’15) (This paper revises and extends work in TAIA Workshop at SIGIR 2014 and arXiv:1405.1486.) | May 2015
Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks
Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett
Proceedings of the 24th Annual International World Wide Web Conference (WWW ’15) | May 2015
Query Suggestion and Data Fusion in Contextual Disambiguation
Milad Shokouhi, Marc Sloan, Paul N. Bennett, Kevyn Collins-Thompson, Siranush Sarkizova
Proceedings of the 24th International World Wide Web Conference (WWW 2015) | May 2015
Slides at: http://www.slideshare.net/shokouhi1/query-suggestion-and-data-fusion-in-contextual-disambiguation
Exploring Time-Dependent Concerns about Pregnancy and Childbirth from Search Logs
Adam Fourney, Ryen W. White, Eric Horvitz
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI ’15) | April 2015
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15)
ISBN: 978-1-4503-3145-6
Best of CHI honorable mention
Break It Down: A Comparison of Macro- and Microtasks
Justin Cheng, Jaime Teevan, Shamsi Iqbal, Michael S. Bernstein
ACM Conference on Human Factors for Computing Systems (CHI) | April 2015
Towards Learning a Knowledge Base of Actions from Experiential Microblogs
AAAI Spring Symposium on Knowledge Representation and Reasoning | March 2015
AAAI Spring Symposium on Knowledge Representation and Reasoning
Overview of the Special Issue on Contextual Search and Recommendation
Paul N. Bennett, Kevyn Collins-Thompson, Diane Kelly, Ryen W. White, Yi Zhang
ACM Transactions on Information Systems | March 2015
Special Issue of ACM TOIS on Contextual Search and Recommendation
Paul N. Bennett, Kevyn Collins-Thompson, Diane Kelly, Ryen White, Yi Zhang, (guest eds)
Published by ACM | March 2015, Vol 33
Overview of the TREC 2014 Web Track
Kevyn Collins-Thompson, Craig Macdonald, Paul N. Bennett, Fernando Diaz, Ellen M. Voorhees
In Proceedings of the 23rd Text REtrieval Conference (TREC ’14) | February 2015
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Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning
Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett
Proceedings of the 14th IEEE International Conference on Data Mining (ICDM 2014) | December 2014
Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference
Joseph John Pfeiffer, III, Jennifer Neville, Paul N. Bennett
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (CIKM ’14) | November 2014
Understanding Intrinsic Diversity in Web Search: Improving Whole-Session Relevance
Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson
ACM Transactions on Information Systems (TOIS) | October 2014, Vol 32
Gaze and Mouse Coordination in Everyday Work
Dan Liebling, Susan Dumais
4th International Conference on Pervasive Eye Tracking and Mobile Eye-Based Interaction | September 2014
Privacy Considerations for a Pervasive Eye Tracking World
Dan Liebling, Sören Preibusch
4th International Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction | September 2014
Influences of a Shocking News Event on Web Browsing
Danai Koutra, Paul N. Bennett, Eric Horvitz
Proceedings of the SIGIR 2014 Workshop on Temporal, Social and Spatially-aware Information Access (TAIA’14) (This paper also appers as arXiv:1405.1486 and was later revised and extended in WWW 2015 paper of similar name.) | July 2014
Discussion Graphs: Putting Social Media Analysis in Context
Emre Kiciman, Scott Counts, Michael Gamon, Munmun De Choudhury, Bo Thiesson
Intl. Conf. on Weblogs and Social Media (ICWSM-14) | June 2014
Online And Social Media Data As A Flawed Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
MSR-TR-2014-159 | May 2014
Effect of Persuasion on Information Diffusion in Social Networks
Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman
MSR-TR-2014-69 | May 2014
Selfsourcing Personal Tasks
Dan Liebling, Jaime Teevan, Walter S. Lasecki
Proceedings of CHI 2014 | April 2014
Seeking and Sharing Health Information Online: Comparing Search Engines and Social Media
Munmun De Choudhury, Meredith Ringel Morris, Ryen W. White
Proceedings of CHI 2014 | April 2014
Supporting Interpersonal Interaction during Collaborative Mobile Search
Jaime Teevan, Meredith Ringel Morris
IEEE Computer | March 2014, Vol 47(3): pp. 54-57
Entity Linking at the Tail: Sparse Signals, Unknown Entities and Phrase Models
Yuzhe Jin, Emre Kiciman, Kuansan Wang, Ricky Loynd
WSDM ’14 Proceedings of the 7th ACM international conference on Web search and data mining | February 2014
To Search or to Ask: The Routing of Information Needs Between Traditional Search Engines and Social Networks
Anne Oeldorf-Hirsch, Brent Hecht, Meredith Ringel Morris, Jaime Teevan, Darren Gergle
Proceedings of CSCW 2014 | February 2014
TREC 2013 Web Track Overview
Kevyn Collins-Thompson, Paul N. Bennett, Fernando Diaz, Charles L. A. Clarke, Ellen M. Vorhees
Proceedings of the 22nd Text REtrieval Conference (TREC 2013) | February 2014
Using Physical Signaling to Support Collaborative Mobile Search
Jaime Teevan, Meredith Ringel Morris, Shiri Azenkot
Extended Abstracts of CSCW 2014 | February 2014
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Personalization via Probabilistic Adaptation
David Sontag, Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. White, Susan Dumais, Bodo von Billerbeck
NIPS 2013 Workshop on Personalization (An extended abstract of work that first appeared in WSDM 2012) | December 2013
A Crowd-Powered Socially Embedded Search Engine
Jin-Woo Jeong, Meredith Ringel Morris, Jaime Teevan, Dan Liebling
Proceedings of ICWSM 2013 | July 2013
Fighting Search Engine Amnesia: Reranking Repeated Results
Milad Shokouhi, Ryen W. White, Paul N. Bennett, Filip Radlinski
Proceedings of the 36th Annual ACM SIGIR Conference (SIGIR 2013) | July 2013
Toward Whole-Session Relevance: Exploring Intrinsic Diversity in Web Search
Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson
Proceedings of the 36th Annual ACM SIGIR Conference (SIGIR 2013) | July 2013
Best Student Paper
Towards Supporting Search over Trending Events with Social Media
Sanjay Kairam, Meredith Ringel Morris, Jaime Teevan, Dan Liebling, Susan Dumais
Proceedings of ICWSM 2013 | July 2013
Best Paper Honorable Mention
Combining Active Sampling with Parameter Estimation and Prediction in Single Networks
Joel J. Pfeiffer, Jennifer Neville, Paul N. Bennett
Proceedings of the ICML 2013 Workshop on Structured Learning: Inferring Graphs from Structured and Unstructured Inputs (SLG 2013) | June 2013
Proceedings of the ICML 2013 Workshop on Structured Learning: Inferring Graphs from Structured and Unstructured Inputs
Designing Human-Readable User Profiles for Search Evaluation
Carsten Eickhoff, Kevyn Collins-Thompson, Paul N. Bennett, Susan Dumais
Short-paper in Proceedings of the 35th ACM European Conference on Information Retrieval (ECIR ’13) | March 2013
Pairwise Ranking Aggregation in a Crowdsourced Setting
Xi Chen, Paul N. Bennett, Kevyn Collins-Thompson, Eric Horvitz
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM ’13) | February 2013
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM '13)
Personalizing Atypical Web Search Sessions
Carsten Eickhoff, Kevyn Collins-Thompson, Paul N. Bennett, Susan Dumais
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM ’13) | February 2013
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM '13)
Predicting Content Change on the Web
Kira Radinsky, Paul N. Bennett
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM ’13) | February 2013
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM '13)
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Empirical analysis of user data in game software development
Kenneth Hullett, Nachi Nagappan, Eric Schuh, John Hopson
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement | November 2012
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
Kinected Browser: Depth Camera Interaction for the Web
Dan Liebling, Meredith Ringel Morris
Proc. 2012 ACM Conference on Interactive Tabletops and Surfaces | November 2012
Proc. 2012 ACM Conference on Interactive Tabletops and Surfaces
Displaying Mobile Feedback During a Presentation
Jaime Teevan, Dan Liebling, Ann Paradiso, Carlos Garcia Jurado Suarez, Curtis von Veh, Darren Gehring
Proc. MobileHCI 2012 | September 2012
Active Query Selection for Learning Rankers
Mustafa Bilgic, Paul Bennett
Poster-Paper in Proceedings of the 35th Annual ACM SIGIR Conference (SIGIR 2012). | August 2012
Anticipatory Search: Using Context to Initiate Search
Dan Liebling, Paul Bennett, Ryen W. White
Proc. SIGIR 2012 | August 2012
Anticipatory Search: Using Context to Initiate Search
Dan Liebling, Ryen W. White, Paul Bennett
Proceedings of the 35th Annual ACM SIGIR Conference (SIGIR 2012) | August 2012
(to appear)
Modeling the Impact of Short- and Long-Term Behavior on Search Personalization
Paul Bennett, Ryen W. White, Wei Chu, Susan Dumais, Peter Bailey, Fedor Borisyuk, Xiaoyuan Cui
Proceedings of the 35th Annual ACM SIGIR Conference (SIGIR 2012) | August 2012
Robust Ranking Models via Risk-Sensitive Optimization
Lidan Wang, Paul Bennett, Kevyn Collins-Thompson
Proceedings of the 35th Annual ACM SIGIR Conference (SIGIR 2012) | August 2012
Best Paper Runner-Up
Search, Interrupted: Understanding and Predicting Search Task Continuation
Eugene Agichtein, Ryen W. White, Susan Dumais, Paul Bennett
Proceedings of the 35th Annual ACM SIGIR Conference (SIGIR 2012) | August 2012
Active Sampling of Networks
Joel J. Pfeiffer, Jennifer Neville, Paul Bennett
Proceedings of the ICML 2012 Workshop on Mining and Learning with Graphs | July 2012
SearchBuddies: Bringing Search Engines into the Conversation
Brent Hecht, Jaime Teevan, Meredith Ringel Morris, Dan Liebling
Proc. ICWSM 2012 | June 2012
Direct Answers for Search Queries in the Long Tail
Michael S. Bernstein, Jaime Teevan, Susan Dumais, Dan Liebling, Eric Horvitz
Proc. CHI 2012 | May 2012
Best Paper, Honorable Mention
Trajectory-Aware Mobile Search
John Krumm, Jaime Teevan, Amy Karlson, A.J. Brush
CHI 2012 | May 2012
Characterizing Web Content, User Interests, and Search Behavior by Reading Level and Topic
Jinyoung Kim, Kevyn Collins-Thompson, Paul Bennett, Susan Dumais
WSDM 2012: Proceedings of the 5th ACM International Conference on Web Search and Data Mining | February 2012
WSDM 2012: Proceedings of the 5th ACM International Conference on Web Search and Data Mining
Probabilistic Models for Personalizing Web Search
David Sontag, Kevyn Collins-Thompson, Paul Bennett, Ryen W. White, Susan Dumais, Bodo von Billerbeck
WSDM 2012: Fifth International Conference on Web Search and Data Miniing | February 2012
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Personalizing Web Search Results by Reading Level
Kevyn Collins-Thompson, Paul Bennett, Ryen W. White, Sebastian de la Chica, David Sontag
Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM 2011) | October 2011
Inferring and Using Location Metadata to Personalize Web Search
Paul Bennett, Filip Radlinski, Ryen W. White, Emine Yilmaz
Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR) | July 2011
Modeling and Analysis of Cross-Session Search Tasks
Alexander Kotov, Paul Bennett, Ryen W. White, Susan Dumais, Jaime Teevan
Proceedings of SIGIR 2011 | July 2011
The Effects of Choice in Routing Relevance Judgments
Edith Law, Paul Bennett, Eric Horvitz
Proceedings of the 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011) | July 2011
Effects of Community Size and Contact Rate in Synchronous Social Q&A
Ryen W. White, Matthew Richardson, Matthew Richardson, Yandong Liu
Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2011) | May 2011
Best Paper
Fractional Similarity: Cross-lingual Feature Selection for Search
Jagadeesh Jagarlamudi, Paul Bennett
Proceedings of the 33rd Annual European Conference on Information Retrieval (ECIR 2011) | April 2011
Proceedings of the 33rd Annual European Conference on Information Retrieval (ECIR 2011)
Understanding and Predicting Personal Navigation
Jaime Teevan, Dan Liebling, Gayathri Ravichandran Geetha
Proc. WSDM 2011 | February 2011
Detecting Duplicate Web Documents using Clickthrough Data
Filip Radlinski, Paul Bennett, Emine Yilmaz
ACM International Conference on Web Search and Data Mining (WSDM) | February 2011
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Online Stratified Sampling: Evaluating Classifiers at Web-Scale
Paul Bennett, Vitor Carvalho
Short-Paper in Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM ’10) | October 2010
Short-Paper in Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM '10)
Predicting Short-term Interests Using Activity-Based Search Contexts
Ryen W. White, Paul Bennett, Susan Dumais
Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM ’10) | October 2010
Characterizing Microblogs with Topic Models
Daniel Ramage, Susan Dumais, Dan Liebling
Proc. ICWSM 2010 | May 2010
Classification-enhanced Ranking
Paul Bennett, Krysta M. Svore, Susan Dumais, Krysta M. Svore
Proceedings of World Wide Web | April 2010
A Longitudinal Study of How Highlighting Web Content Change Affects People’s Web Interactions
Jaime Teevan, Susan Dumais, Dan Liebling
Proc. 2010 ACM Conf. on Human Factors in Computing Systems (CHI 2010) | April 2010
Predicting Query Performance via Classification
Kevyn Collins-Thompson, Paul Bennett
Proceedings of the 32nd Annual European Conference on Information Retrieval (ECIR 2010) | March 2010
Proceedings of the 32nd Annual European Conference on Information Retrieval (ECIR 2010)
Cars, Calls and Cognition: Investigating Driving and Divided Attention
Shamsi Iqbal, Y. C. Ju, Eric Horvitz
ACM Conference on Human Factors in Computing Systems (CHI) | January 2010
Collaborative Web Search: Who, What, Where, When, and Why?
Meredith Ringel Morris, Jaime Teevan
Published by Morgan & Claypool | January 2010
ISBN: 1608451216
Individual Differences In Gaze Patterns For Web Search
Susan Dumais, Georg Buscher, Ed Cutrell
Proceeding of the third symposium on Information Interaction in Context | January 2010
Proceeding of the third symposium on Information Interaction in Context
ISBN: 978-1-4503-0247-0
The Good, the Bad, and the Random: An Eye-Tracking Study of Ad Quality in Web Search
Georg Buscher, Susan Dumais, Ed Cutrell
Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval | January 2010
ISBN: 978-1-4503-0153-4
What Do People Ask Their Social Networks, and Why? A Survey Study of Status Message Q&A Behavior
Meredith Ringel Morris, Jaime Teevan, Katrina Panovich
Proceedings of CHI 2010 | January 2010
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A report on the Human Computation Workshop (HComp 2009)
Panos G. Ipeirotis, Ramen Chandrasekar, Paul Bennett, Edith Law, Max Chickering, Anton Mityagin, Foster Provost, Luis von Ahn
KDD Explorations | December 2009, Vol 11: pp. 80-83
Redundancy, Diversity, and Interdependent Document Relevance, a summary of the SIGIR 2009 workshop
Filip Radlinski, Paul Bennett, Ben Carterette
SIGIR Forum | December 2009
Discovery Is Never by Chance: Designing for (Un)Serendipity
Paul André, m.c. schraefel, Jaime Teevan, Susan Dumais
Proc. Creativity & Cognition 2009 | October 2009
Changing How People View Changes on the Web
Jaime Teevan, Susan Dumais, Dan Liebling, Richard Hughes
Proceedings UIST ’09, Victoria, BC, Canada | October 2009
Refined Experts: Improving Classification in Large Taxonomies
Paul Bennett, Nam Nguyen
Proceedings of the 32nd Annual ACM SIGIR Conference | July 2009
Viewing Personal Data Over Time
Sonja Knoll, Aaron Hoff, Danyel Fisher, Susan Dumais, Ed Cutrell
April 2009
CHI 2009 Workshop on Interacting with Temporal Data
Estimating Query Performance using Class Predictions
Kevyn Collins-Thompson, Paul Bennett
Poster-Paper in Proceedings of the 32nd Annual ACM SIGIR Conference (SIGIR 2009) | January 2009
Poster-Paper in Proceedings of the 32nd Annual ACM SIGIR Conference (SIGIR 2009)
Learning Consensus Opinion: Mining Data from a Labeling Game
Paul Bennett, Max Chickering, Anton Mityagin
Proceedings of the 18th Annual International World Wide Web Conference (WWW ’09) | January 2009
Proceedings of the 18th Annual International World Wide Web Conference (WWW '09)
Picture This: Preferences for Image Search
Paul Bennett, Max Chickering, Anton Mityagin
Demo-paper in the Human Computation 2009 Workshop at KDD ’09 | January 2009
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Understanding Groups’ Properties as a Means of Improving Collaborative Search Systems
Meredith Ringel Morris, Jaime Teevan
JCDL 2008 Workshop on Collaborative Information Retrieval | June 2008
Evaluation Measures for Preference Judgments
Ben Carterette, Paul Bennett
Poster-Paper in Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval | January 2008
Poster-Paper in Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Here or There: Preference Judgments for Relevance
Ben Carterette, Paul Bennett, Max Chickering, Susan Dumais
Proceedings of ECIR 2008 | January 2008
Proceedings of ECIR 2008
ECIR 2018 Test of Time Honorable Mention
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Dual Strategy Active Learning
Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett
Proceedings of ECML 2007 | September 2007
Neighborhood-Based Local Sensitivity
Paul N. Bennett
Proceedings of ECML 2007 | September 2007
Proceedings of ECML 2007
Combining Probability-Based Rankers for Action-Item Detection
Paul N. Bennett, Jaime Carbonell
Proceedings of HLT-NAACL 2007 | April 2007
Proceedings of HLT-NAACL 2007
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Exploring Personal Information
Edward Cutrell, Susan Dumais, Ed Cutrell
Communications of the ACM (Special Issue: Supporting Exploratory Search) | January 2006
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Mining Metrics to Predict Component Failures
Nachi Nagappan, Thomas Ball, Andreas Zeller
MSR-TR-2005-149 | November 2005
The Combination of Text Classifiers Using Reliability Indicators
Paul N. Bennett, Susan Dumais, Eric Horvitz
Informtion Retrieval (This paper revises and extends work originally presented in [Bennett, Dumais, & Horvitz; SIGIR 2002].) | March 2005, Vol 8: pp. 67-100
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Probabilistic Combination of Text Classifiers Using Reliability Indicators: Models and Results
Paul N. Bennett, Susan Dumais, Eric Horvitz
Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2002) (An extended and revised version of this work appears in Information Retrieval, 2005.) | August 2002
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Classified Displays of Web Search Results
Susan Dumais, Ed Cutrell, Hao Chen
Advances in Classification Research Online Invited presentation at ASIS&T SIG/CR Classification Research Workshop | November 2000, Vol 11
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Directions in Software Development and Maintenance
Ted J. Biggerstaff
MSR-TR-93-16 | September 1993
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Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Ching-An Cheng, Allen Nie, Adith Swaminathan
NeurIPS 2024 | December 2024
NeurIPS Expo Demo
Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers
Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Bahar Sarrafzadeh, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi
Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U) | November 2024
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
Tobias Schnabel, Jennifer Neville
EMNLP | November 2024
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville
ArXiv | August 2024, Vol abs/2408.15549
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent Hecht, Jaime Teevan
ACL | August 2024
On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan
2024 Uncertainty in Artificial Intelligence | July 2024
Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media
Zhuoran Lu, Sheshera Mysore, Tara Safavi, Jennifer Neville, Longqi Yang, Mengting Wan
ArXiv | May 2024, Vol abs/2405.04656
The Use of Generative Search Engines for Knowledge Work and Complex Tasks
Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang
March 2024
TnT-LLM: Text Mining at Scale with Large Language Models
Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan
KDD | March 2024
Interactive Robot Learning from Verbal Correction
Huihan Liu, Alice Chen, Yuke Zhu, Adith Swaminathan, Andrey Kolobov, Ching-An Cheng
CoRL 2023 Workshop on Language and Robot Learning (LangRob) | November 2023
Simple Data Sharing for Multi-Tasked Goal-Oriented Problems
Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
NeurIPS 2023 | October 2023
Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Longqi Yang
MSR-TR-2023-32 | September 2023
Published by Microsoft
This article is distributed under Creative Commons Attribution- NonCommercial- NoDerivatives License 4.0 (CC BY-NC-ND). https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.
S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs
Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi
September 2023
Stationary Algorithmic Balancing For Dynamic Email Re-Ranking Problem
Jiayi Liu, Jennifer Neville
2023 Knowledge Discovery and Data Mining | August 2023
Workplace Recommendation with Temporal Network Objectives
Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu
2023 Knowledge Discovery and Data Mining | August 2023
Hindsight Learning for MDPs with Exogenous Inputs
Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
2023 International Conference on Machine Learning | July 2023
Towards Modular Machine Learning Pipelines
Aditya Modi, Jivat Neet Kaur, Maggie Makar, Pavan Mallapragada, Amit Sharma, Emre Kiciman, Adith Swaminathan
2023 International Conference on Machine Learning | July 2023
Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs
Susheel Suresh, Mayank Shrivastava, Arko Mukherjee, Jennifer Neville, Pan Li
2023 The Web Conference | April 2023
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories
Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett
February 2023
arXiv:2204.06644
Imagining future digital assistants at work: A study of task management needs
Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman, Jonathan Liono, Johanne R. Trippas, Damiano Spina, Peter Bailey, Nicholas J. Belkin, Paul Bennett, Yongli Ren, Mark Sanderson, Falk Scholer, Ryen W. White, Flora D. Salim
International Journal of Human-Computer Studies | December 2022, Vol 168
Federated Graph Representation Learning using Self-Supervision
Susheel Suresh, Danny Godbout, Arko Mukherjee, Mayank Shrivastava, Jennifer Neville, Pan Li
2210.15120 | October 2022
Published by arXiv
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning
Bogdan Mazoure, Paul Mineiro, Pavithra Srinath, Reza Sharifi Sedeh, Doina Precup, Adith Swaminathan
2022 European Conference on Principles of Data Mining and Knowledge Discovery | September 2022
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
Ji Xin, Chenyan Xiong, Ashwin Srinivasan, Ankita Sharma, Damien Jose, Paul Bennett
ACL 2022 | May 2022
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals
Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao
April 2022
arXiv:2204.06644
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
ICLR 2022 | April 2022
HINT: Integration Testing for AI-based Features with Humans in the Loop
Quanze Chen, Tobias Schnabel, Besmira Nushi, Saleema Amershi
International Conference on Intelligent User Interfaces | March 2022
SummaC: Re-visiting NLI-based Models for Inconsistency Detection in Summarization
Philippe Laban, Tobias Schnabel, Paul Bennett, Marti A. Hearst
Transactions of the Association for Computational Linguistics | February 2022, Vol 10: pp. 163-177
Lightweight Compositional Embeddings for Incremental Streaming Recommendation
Mengyue Hang, Tobias Schnabel, Longqi Yang, Jennifer Neville
Machine Learning on Graphs, WSDM’22 | February 2022
Adversarial graph augmentation to improve graph contrastive learning
Susheel Suresh, Pan Li, Cong Hao
Advances in Neural Information Processing Systems | December 2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
NeurIPS 2021 | December 2021
Heuristic-Guided Reinforcement Learning
Ching-An Cheng, Andrey Kolobov, Adith Swaminathan
NeurIPS 2021 | December 2021
Recommendations as Treatments
Thorsten Joachims, Ben London, Yi Su, Adith Swaminathan, Lequn Wang
AI Magazine | November 2021, Vol 42(3): pp. 19-30
Universal Search and Recommendation
Paul Bennett
October 2021
Local Factor Models for Large-Scale Inductive Recommendation
Longqi Yang, Tobias Schnabel, Paul Bennett, Susan Dumais
RecSys | September 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma
ACM SIGKDD Conference on Knowledge Discovery & Data Mining | August 2021
A collective learning framework to boost GNN expressiveness for node classification
Mengyue Hang, Jennifer Neville, Bruno Ribeiro
International Conference on Machine Learning | July 2021
Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text
Philippe Laban, Tobias Schnabel, Paul Bennett, Marti A. Hearst
ACL-IJCNLP 2021 | July 2021
Towards Decentralized Social Reinforcement Learning via Ego-Network Extrapolation
Mahak Goindani, Jennifer Neville
International Conference on Autonomous Agents and Multi Agent Systems | May 2021
Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder
Shuqi Lu, Chenyan Xiong, Di He, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tieyan Liu, Arnold Overwijk
May 2021
Contrastive Multi-document Question Generation
Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan
European Chapter of the Association for Computational Linguistics (EACL) | April 2021
DYMOND: DYnamic MOtif-NoDes Network Generative Model
Giselle Zeno, Timothy La Fond, Jennifer Neville
Proceedings of the Web Conference 2021 | April 2021
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization
Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao
AAAI 2021 | April 2021
Knowledge-Aware Language Model Pretraining
Corby Rosset, Chenyan Xiong, Minh Phan, Xia Song, Paul Bennett, Saurabh Tiwary
February 2021
arXiv:2007.00655
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision
Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett
ACL-IJCNLP 2021 | December 2020
A Report on the First Workshop on Document Intelligence (DI) at NeurIPS 2019
Hamid Motahari, Nigel Duffy, Paul Bennett, Tania Bedrax-Weiss
SigKDD Explorations | December 2020, Vol 22(2)
Leveraging Structured Metadata for Improving Question Answering on the Web
Xinya Du, Adam Fourney, Robert Sim, Paul Bennett, Claire Cardie, Ahmed Awadallah
AACL 2020 | December 2020
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett
MSR-TR-2020-49 | November 2020
Published by Microsoft
The participation report of our top non-manual entry in TREC COVID Round 2.
Text Classification Using Label Names Only: A Language Model Self-Training Approach
Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han
Empirical Methods in Natural Language Processing | October 2020
Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling
Zhenghao Liu, Chenyan Xiong, Zhuyun Dai, Si Sun, Maosong Sun, Zhiyuan Liu
Empirical Methods in Natural Language Processing (Findings, Short) | October 2020
Long Document Ranking with Query-Directed Sparse Transformer
Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee, Wei Wang
Empirical Methods in Natural Language Processing (Findings) | October 2020
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables
Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang
Neural Information Processing Systems | October 2020
Provably Good Batch Reinforcement Learning Without Great Exploration
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill
2020 Neural Information Processing Systems | October 2020
Feedback-Driven Semi-Supervised Synthesis of Program Transformations
Xiang Gao, Shraddha Barke, Arjun Radhakrishna, Gustavo Soares, Sumit Gulwani, Alan Leung, Nachi Nagappan, Ashish Tiwari
OOPSLA | October 2020
Debiasing Item-to-Item Recommendations With Small Annotated Datasets
Tobias Schnabel, Paul Bennett
RecSys | September 2020
“Who doesn’t like dinosaurs?” Finding and Eliciting Richer Preferences for Recommendation
Tobias Schnabel, Gonzalo Ramos, Saleema Amershi
14th ACM Conference on Recommender Systems | September 2020
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel, Saleema Amershi, Paul Bennett, Peter Bailey, Thorsten Joachims
Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
Learning Calibratable Policies using Programmatic Style-Consistency
Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew Hausknecht
2020 International Conference on Machine Learning | July 2020
Working Memory Graphs
Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew Hausknecht
2020 International Conference on Machine Learning | July 2020
Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020
Edgar Meij, Tara Safavi, Chenyan Xiong, Gianluca Demartini, Miriam Redi, Fatma Özcan
Automated Knowledge Base Construction | June 2020
Workshop Proceedings
Few-Shot Generative Conversational Query Rewriting
Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul Bennett, Jianfeng Gao, Zhiyuan Liu
SIGIR 2020 | June 2020
Best Short Paper Award
Active Learning for ML Enhanced Database Systems
Lin Ma, Bailu Ding, Sudipto Das, Adith Swaminathan
SIGMOD 2020 | June 2020
Fine-grained Fact Verification with Kernel Graph Attention Network
Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu
ACL 2020 | June 2020
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
Houyu Zhang, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu
ACL 2020 | June 2020
Analyzing and Learning from User Interactions for Search Clarification
Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul Bennett, Nick Craswell, Susan Dumais
Proceedings of the 43rd international ACM SIGIR conference on Research & development in information retrieval | May 2020
Transformer-XH: Multi-evidence Reasoning with Extra Hop Attention
Chen Zhao, Chenyan Xiong, Corby Rosset, Xia Song, Paul Bennett, Saurabh Tiwary
The Eighth International Conference on Learning Representations (ICLR 2020) | April 2020
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
Jiaming Shen, Iris Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han
The Web Conference 2020 (formerly WWW conference) | April 2020
Improving Learning Outcomes with Gaze Tracking and Automatic Question Generation
Rohail Syed, Kevyn Collins-Thompson, Paul Bennett, Mengqiu Tang, Shane Williams, Shamsi Iqbal, Wendy Tay
The Web Conference 2020 (formerly WWW conference) | April 2020
Selective Weak Supervision for Neural Information Retrieval
Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu
The Web Conference 2020 (formerly WWW conference) | April 2020
Complex Factoid Question Answering with a Free-Text Knowledge Graph
Chen Zhao, Chenyan Xiong, Xin Qian, Jordan Boyd-Graber
The Web Conference 2020 (formerly WWW conference) | April 2020
Generating Clarifying Questions for Information Retrieval
Hamed Zamani, Susan Dumais, Nick Craswell, Paul Bennett, Gord Lueck
The Web Conference 2020 (formerly WWW conference) | April 2020
Leading Conversational Search by Suggesting Useful Questions
Corby Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul Bennett
The Web Conference 2020 (formerly WWW conference) | April 2020
On How People Navigate Through Their Personal Web of Things
Dhivya Eswaran, Shamsi Iqbal, Adam Fourney, Shane Williams, Paul Bennett
CHI 2020 Workshop on Speculative Designs for Emergent Personal Data Trails | April 2020
Toward Activity Discovery in the Personal Web
Tara Safavi, Adam Fourney, Robert Sim, Marcin Juraszek, Shane Williams, Ned Friend, Danai Koutra, Paul Bennett
The 13th ACM International Conference on Web Search and Data Mining (WSDM) | February 2020
Latent Relation Language Models
Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig
AAAI | February 2020
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations
Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) | February 2020
Robust Neural Networks for Causal Invariant Features Extraction
Shuxi Zeng, Pengchuan Zhang, Denis Charles, Eren Manavoglu, Emre Kiciman
December 2019
NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
Causal Transfer Random Forest: Leveraging Observational and Randomization Studies
Shuxi Zeng, Emre Kiciman, Denis Charles, Joel Pfeiffer, Murat Ali Bayir
December 2019
NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
Deep Generalized Method of Moments for Instrumental Variable Analysis
Tobias Schnabel, Andrew Bennett, Nathan Kallus
NeurIPS | December 2019
On Domain Transfer When Predicting Intent in Text
Petar Stojanov, Ahmed Awadallah, Paul Bennett, Saghar Hosseini
NeurIPS Workshop on Document Intelligence | December 2019
Open Domain Web Keyphrase Extraction Beyond Language Modeling
Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk
Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) | November 2019
VERSE: Bridging Screen Readers and Voice Assistants for Enhanced Eyes-Free Web Search
Alexandra Vtyurina, Adam Fourney, Meredith Ringel Morris, Leah Findlater, Ryen W. White
ASSETS 2019 | October 2019
Best Paper Nominee
Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
Chandra Maddila, Chetan Bansal, Nachi Nagappan
ESEC/FSE 2019 | August 2019
Generic Intent Representation in Web Search
Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul Bennett, Nick Craswell, Saurabh Tiwary
The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) | July 2019
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
Frontiers in Big Data | July 2019, Vol 2
Target-Guided Open-Domain Conversation
Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu
Annual Meeting of the Association for Computational Linguistics (ACL) | July 2019
A Social Media Study on the Effects of Psychiatric Medication Use
Koustuv Saha, Benjamin Sugar, John Torous, Bruno Abrahao, Emre Kiciman, Munmun De Choudhury
International AAAI Conference on Web and Social Media (ICWSM 2019) | June 2019
Outstanding Study Design Paper Award
Software Engineering for Machine Learning: A Case Study
Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLIne, Harald Gall, Ece Kamar, Nachi Nagappan, Besmira Nushi, Tom Zimmermann
International Conference on Software Engineering (ICSE 2019) – Software Engineering in Practice track | May 2019
ICSE 2019 Best Paper Award
People and AI See Things Different Implications of Mismatched Perception on HCI for AI Systems
Saleema Amershi, Ece Kamar, Emre Kiciman
Workshop on Human-Centered Machine Learning Perspectives at CHI 2019 | May 2019
Will You Accept an Imperfect AI? Exploring Designs for Adjusting End-user Expectations of AI Systems
Rafal Kocielnik, Saleema Amershi, Paul Bennett
CHI 2019 | May 2019
IRJ Special Issue on Knowledge Graphs and Semantics in Text Analysis and Retrieval
Laura Dietz, Chenyan Xiong, Jeff Dalton, Edgar Meij, (as guest editors)
Information Retrieval | March 2019, Vol 22
Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory
Tobias Schnabel, Paul Bennett, Thorsten Joachims
The 12th ACM International Conference on Web Search and Data Mining (WSDM 2019) | March 2019
Understanding Context for Tasks and Activities
Jan Benetka, John Krumm, Paul Bennett
The Fourth ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019) | March 2019
Learning About Work Tasks to Inform Intelligent Assistant Design
Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Awadallah, Peter Bailey, Paul Bennett, Ryen W. White, Jonathan Liono, Yongli Ren, Flora D. Salim, Mark Sanderson
The Fourth ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019) | March 2019
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation
Maggie Makar, Adith Swaminathan, Emre Kiciman
AAAI-19 | January 2019
Representing and Recommending Shopping Baskets with Complementarity, Compatibility, and Loyalty
Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian McAuley
27th ACM International Conference on Information and Knoweldge Management | October 2018
Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health
Munmun De Choudhury, Emre Kiciman
AI Magazine | September 2018, Vol 39(3)
Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use
Emre Kiciman, Scott Counts, Melissa Gasser
In Proceedings of 12th International Conference on Web and Social Media (ICWSM-18) | June 2018
Deep Learning with Logged Bandit Feedback
Thorsten Joachims, Adith Swaminathan, Maarten de Rijke
2018 International Conference on Learning Representations | May 2018
Conjunction of factors triggering waves of seasonal influenza
Ishanu Chattopadhyay, Emre Kiciman, Joshua W. Elliott, Jeffrey L. Shaman, Andrey Rzhetsky
eLife | February 2018, Vol 7: pp. e30756
Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration
Tobias Schnabel, Paul N. Bennett, Susan Dumais, Thorsten Joachims
Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM ’18) | February 2018
Off-Policy Evaluation For Slate Recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal, Miro Dudík, John Langford, Damien Jose, Imed Zitouni
2017 Neural Information Processing Systems | December 2017
Characterizing and Predicting Enterprise Email Reply Behavior
Liu Yang, Susan Dumais, Paul Bennett, Ahmed Awadallah
Proceedings of the 40th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017) | December 2017
Self-Es: The Role of Emails-to-Self in Personal Information Management
Horatiu Bota, Paul N. Bennett, Ahmed Awadallah, Susan T. Dumais
Proceedings of the 2nd ACM Conference on Human Information Interaction and Retrieval (CHIIR ’17) | November 2017
Wildbook: Crowdsourcing, computer vision, and data science for conservation
Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Jason A. Holmberg, Jason Parham, Jonathan Crall, Sreejith Menon, Jon Van Oast, Emre Kiciman, Lucas Joppa
Bloomberg Data for Good Exchange | September 2017
Conjunction of Factors Triggering Waves of Seasonal Influenza
Ishanu Chattopadhyay, Emre Kiciman, Joshua Elliott, Jeffrey Shaman, Andrey Rzhetsky
BioRxiv | July 2017
Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence, ® Montreal, QU
Animal Population Estimation Using Flickr Images
Sreejith Menon, Tanya Berger-Wolf, Emre Kiciman, Lucas Joppa, Charles V. Stewart, Jason Parham, Jonathan Crall, Jason Holmberg, Jonathan Van Oast
In Proceedings of 2nd International Workshop on the Social Web for Environmental and Ecological Monitoring (SWEEM 2017) | June 2017
Managing Uncertainty in Time Expressions for Virtual Assistants
Xin Rong, Adam Fourney, Robin N. Brewer, Meredith Ringel Morris, Paul N. Bennett
Proceedings of the 35th Annual CHI Conference on Human Factors in Computing Systems (CHI ’17) | May 2017
Best Paper Honorable Mention
Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media
Alexandra Olteanu, Onur Varol, Emre Kiciman
Proceedings of The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing | February 2017
ISBN: 978-1-4503-4335-0/17/03
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims, Adith Swaminathan, Tobias Schnabel
2017 Web Search and Data Mining | February 2017
Best Paper Award
Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints
Paul N. Bennett, David M. Chickering, Christopher Meek, Xiaojin Zhu
Proceedings of the 10th ACM International Conference on Web Search and Data Mining (WSDM ’17) | February 2017
Analyzing and Predicting Task Reminders
David Graus, Paul N. Bennett, Ryen W. White, Eric Horvitz
Proceedings of the 24th ACM Conference on User Modeling, Adaptation, and Personalization (UMAP ’16) | July 2016
Best Student Paper
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, Thorsten Joachims
2016 International Conference on Machine Learning | June 2016
Using Shortlists to Support Decision Making and Improve Recommender System Performance
Tobias Schnabel, Paul N. Bennett, Susan T. Dumais, Thorsten Joachims
Proceedings of the 25th International World Wide Web Conference (WWW ’16) | May 2016
Building Effective Query Classifiers: A Case Study in Self-harm Intent Detection
Ashiqur R. KhudaBukhsh, Paul N. Bennett, Ryen W. White
Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia | October 2015
Events and Controversies: Influences of a Shocking News Event on Information Seeking
Danai Koutra, Paul N. Bennett, Eric Horvitz
Proceedings of the 24th Annual International World Wide Web Conference (WWW ’15) (This paper revises and extends work in TAIA Workshop at SIGIR 2014 and arXiv:1405.1486.) | May 2015
Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks
Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett
Proceedings of the 24th Annual International World Wide Web Conference (WWW ’15) | May 2015
Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning
Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett
Proceedings of the 14th IEEE International Conference on Data Mining (ICDM 2014) | December 2014
Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference
Joseph John Pfeiffer, III, Jennifer Neville, Paul N. Bennett
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (CIKM ’14) | November 2014
Influences of a Shocking News Event on Web Browsing
Danai Koutra, Paul N. Bennett, Eric Horvitz
Proceedings of the SIGIR 2014 Workshop on Temporal, Social and Spatially-aware Information Access (TAIA’14) (This paper also appers as arXiv:1405.1486 and was later revised and extended in WWW 2015 paper of similar name.) | July 2014
Combining Active Sampling with Parameter Estimation and Prediction in Single Networks
Joel J. Pfeiffer, Jennifer Neville, Paul N. Bennett
Proceedings of the ICML 2013 Workshop on Structured Learning: Inferring Graphs from Structured and Unstructured Inputs (SLG 2013) | June 2013
Proceedings of the ICML 2013 Workshop on Structured Learning: Inferring Graphs from Structured and Unstructured Inputs
Pairwise Ranking Aggregation in a Crowdsourced Setting
Xi Chen, Paul N. Bennett, Kevyn Collins-Thompson, Eric Horvitz
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM ’13) | February 2013
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM '13)
Active Sampling of Networks
Joel J. Pfeiffer, Jennifer Neville, Paul Bennett
Proceedings of the ICML 2012 Workshop on Mining and Learning with Graphs | July 2012
Classification-enhanced Ranking
Paul Bennett, Krysta M. Svore, Susan Dumais, Krysta M. Svore
Proceedings of World Wide Web | April 2010
A Longitudinal Study of How Highlighting Web Content Change Affects People’s Web Interactions
Jaime Teevan, Susan Dumais, Dan Liebling
Proc. 2010 ACM Conf. on Human Factors in Computing Systems (CHI 2010) | April 2010
A report on the Human Computation Workshop (HComp 2009)
Panos G. Ipeirotis, Ramen Chandrasekar, Paul Bennett, Edith Law, Max Chickering, Anton Mityagin, Foster Provost, Luis von Ahn
KDD Explorations | December 2009, Vol 11: pp. 80-83
Neighborhood-Based Local Sensitivity
Paul N. Bennett
Proceedings of ECML 2007 | September 2007
Proceedings of ECML 2007
Dual Strategy Active Learning
Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett
Proceedings of ECML 2007 | September 2007
Combining Probability-Based Rankers for Action-Item Detection
Paul N. Bennett, Jaime Carbonell
Proceedings of HLT-NAACL 2007 | April 2007
Proceedings of HLT-NAACL 2007
Exploring Personal Information
Edward Cutrell, Susan Dumais, Ed Cutrell
Communications of the ACM (Special Issue: Supporting Exploratory Search) | January 2006
The Combination of Text Classifiers Using Reliability Indicators
Paul N. Bennett, Susan Dumais, Eric Horvitz
Informtion Retrieval (This paper revises and extends work originally presented in [Bennett, Dumais, & Horvitz; SIGIR 2002].) | March 2005, Vol 8: pp. 67-100
Probabilistic Combination of Text Classifiers Using Reliability Indicators: Models and Results
Paul N. Bennett, Susan Dumais, Eric Horvitz
Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2002) (An extended and revised version of this work appears in Information Retrieval, 2005.) | August 2002
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Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers
Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Bahar Sarrafzadeh, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi
Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U) | November 2024
Neural Approaches to Conversational Information Retrieval
Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell
Published by Springer | March 2023, Vol 44
ISBN: 978-3-031-23079-0
The Information Retrieval Series.
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories
Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett
February 2023
arXiv:2204.06644
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
Ji Xin, Chenyan Xiong, Ashwin Srinivasan, Ankita Sharma, Damien Jose, Paul Bennett
ACL 2022 | May 2022
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals
Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao
April 2022
arXiv:2204.06644
SummaC: Re-visiting NLI-based Models for Inconsistency Detection in Summarization
Philippe Laban, Tobias Schnabel, Paul Bennett, Marti A. Hearst
Transactions of the Association for Computational Linguistics | February 2022, Vol 10: pp. 163-177
Say `YES’ to Positivity: Detecting Toxic Language in Workplace Communications
Meghana Moorthy Bhat, Saghar Hosseini, Ahmed Awadallah, Paul Bennett, Weisheng Li
EMNLP 2021 | November 2021
Less is More: Pre-train a Strong Text Encoder for Dense Retrieval Using a Weak Decoder
Shuqi Lu, Di He, Chenyan Xiong, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tieyan Liu, Arnold Overwijk
EMNLP 2021 | November 2021
Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text
Philippe Laban, Tobias Schnabel, Paul Bennett, Marti A. Hearst
ACL-IJCNLP 2021 | July 2021
Knowledge-Aware Language Model Pretraining
Corby Rosset, Chenyan Xiong, Minh Phan, Xia Song, Paul Bennett, Saurabh Tiwary
February 2021
arXiv:2007.00655
Leveraging Structured Metadata for Improving Question Answering on the Web
Xinya Du, Adam Fourney, Robert Sim, Paul Bennett, Claire Cardie, Ahmed Awadallah
AACL 2020 | December 2020
On Domain Transfer When Predicting Intent in Text
Petar Stojanov, Ahmed Awadallah, Paul Bennett, Saghar Hosseini
NeurIPS Workshop on Document Intelligence | December 2019
Sketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence
Qian Yang, Justin Cranshaw, Saleema Amershi, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
Self-Es: The Role of Emails-to-Self in Personal Information Management
Horatiu Bota, Paul N. Bennett, Ahmed Awadallah, Susan T. Dumais
Proceedings of the 2nd ACM Conference on Human Information Interaction and Retrieval (CHIIR ’17) | November 2017
Managing Uncertainty in Time Expressions for Virtual Assistants
Xin Rong, Adam Fourney, Robin N. Brewer, Meredith Ringel Morris, Paul N. Bennett
Proceedings of the 35th Annual CHI Conference on Human Factors in Computing Systems (CHI ’17) | May 2017
Best Paper Honorable Mention
Analyzing and Predicting Task Reminders
David Graus, Paul N. Bennett, Ryen W. White, Eric Horvitz
Proceedings of the 24th ACM Conference on User Modeling, Adaptation, and Personalization (UMAP ’16) | July 2016
Best Student Paper
Mining Tasks from the Web Anchor Text Graph: MSR Notebook Paper for the TREC 2015 Tasks Track
Paul N. Bennett, Ryen W. White
Proceedings of the 24th Text Retrieval Conference (TREC ’15) | January 2016
Building Effective Query Classifiers: A Case Study in Self-harm Intent Detection
Ashiqur R. KhudaBukhsh, Paul N. Bennett, Ryen W. White
Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia | October 2015
Discussion Graphs: Putting Social Media Analysis in Context
Emre Kiciman, Scott Counts, Michael Gamon, Munmun De Choudhury, Bo Thiesson
Intl. Conf. on Weblogs and Social Media (ICWSM-14) | June 2014
Characterizing Microblogs with Topic Models
Daniel Ramage, Susan Dumais, Dan Liebling
Proc. ICWSM 2010 | May 2010
Combining Probability-Based Rankers for Action-Item Detection
Paul N. Bennett, Jaime Carbonell
Proceedings of HLT-NAACL 2007 | April 2007
Proceedings of HLT-NAACL 2007
The Combination of Text Classifiers Using Reliability Indicators
Paul N. Bennett, Susan Dumais, Eric Horvitz
Informtion Retrieval (This paper revises and extends work originally presented in [Bennett, Dumais, & Horvitz; SIGIR 2002].) | March 2005, Vol 8: pp. 67-100
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Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Ching-An Cheng, Allen Nie, Adith Swaminathan
NeurIPS 2024 | December 2024
NeurIPS Expo Demo
Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints
Paul N. Bennett, David M. Chickering, Christopher Meek, Xiaojin Zhu
Proceedings of the 10th ACM International Conference on Web Search and Data Mining (WSDM ’17) | February 2017
Mining Tasks from the Web Anchor Text Graph: MSR Notebook Paper for the TREC 2015 Tasks Track
Paul N. Bennett, Ryen W. White
Proceedings of the 24th Text Retrieval Conference (TREC ’15) | January 2016
Implicit Preference Labels for Learning Highly Selective Personalized Rankers
Paul N. Bennett, Milad Shokouhi, Rich Caruana
Proceedings of the 1st ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2015) | September 2015
Modeling Website Topic Cohesion at Scale to Improve Webpage Classification
Dhivya Eswaran, Paul N. Bennett, Joseph J. Pfeiffer
(Poster-Paper) Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2015) | August 2015
Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks
Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett
Proceedings of the 24th Annual International World Wide Web Conference (WWW ’15) | May 2015
Query Suggestion and Data Fusion in Contextual Disambiguation
Milad Shokouhi, Marc Sloan, Paul N. Bennett, Kevyn Collins-Thompson, Siranush Sarkizova
Proceedings of the 24th International World Wide Web Conference (WWW 2015) | May 2015
Slides at: http://www.slideshare.net/shokouhi1/query-suggestion-and-data-fusion-in-contextual-disambiguation
Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning
Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett
Proceedings of the 14th IEEE International Conference on Data Mining (ICDM 2014) | December 2014
Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference
Joseph John Pfeiffer, III, Jennifer Neville, Paul N. Bennett
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (CIKM ’14) | November 2014
Understanding Intrinsic Diversity in Web Search: Improving Whole-Session Relevance
Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson
ACM Transactions on Information Systems (TOIS) | October 2014, Vol 32
Fighting Search Engine Amnesia: Reranking Repeated Results
Milad Shokouhi, Ryen W. White, Paul N. Bennett, Filip Radlinski
Proceedings of the 36th Annual ACM SIGIR Conference (SIGIR 2013) | July 2013
Toward Whole-Session Relevance: Exploring Intrinsic Diversity in Web Search
Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson
Proceedings of the 36th Annual ACM SIGIR Conference (SIGIR 2013) | July 2013
Best Student Paper
Combining Active Sampling with Parameter Estimation and Prediction in Single Networks
Joel J. Pfeiffer, Jennifer Neville, Paul N. Bennett
Proceedings of the ICML 2013 Workshop on Structured Learning: Inferring Graphs from Structured and Unstructured Inputs (SLG 2013) | June 2013
Proceedings of the ICML 2013 Workshop on Structured Learning: Inferring Graphs from Structured and Unstructured Inputs
Predicting Content Change on the Web
Kira Radinsky, Paul N. Bennett
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM ’13) | February 2013
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM '13)
Pairwise Ranking Aggregation in a Crowdsourced Setting
Xi Chen, Paul N. Bennett, Kevyn Collins-Thompson, Eric Horvitz
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM ’13) | February 2013
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM '13)
Active Sampling of Networks
Joel J. Pfeiffer, Jennifer Neville, Paul Bennett
Proceedings of the ICML 2012 Workshop on Mining and Learning with Graphs | July 2012
Redundancy, Diversity, and Interdependent Document Relevance, a summary of the SIGIR 2009 workshop
Filip Radlinski, Paul Bennett, Ben Carterette
SIGIR Forum | December 2009
Evaluation Measures for Preference Judgments
Ben Carterette, Paul Bennett
Poster-Paper in Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval | January 2008
Poster-Paper in Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Probabilistic Combination of Text Classifiers Using Reliability Indicators: Models and Results
Paul N. Bennett, Susan Dumais, Eric Horvitz
Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2002) (An extended and revised version of this work appears in Information Retrieval, 2005.) | August 2002
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Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent Hecht, Jaime Teevan
ACL | August 2024
On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan
2024 Uncertainty in Artificial Intelligence | July 2024
The Use of Generative Search Engines for Knowledge Work and Complex Tasks
Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang
March 2024
TnT-LLM: Text Mining at Scale with Large Language Models
Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan
KDD | March 2024
Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Longqi Yang
MSR-TR-2023-32 | September 2023
Published by Microsoft
This article is distributed under Creative Commons Attribution- NonCommercial- NoDerivatives License 4.0 (CC BY-NC-ND). https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.
Neural Approaches to Conversational Information Retrieval
Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell
Published by Springer | March 2023, Vol 44
ISBN: 978-3-031-23079-0
The Information Retrieval Series.
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories
Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett
February 2023
arXiv:2204.06644
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
Ji Xin, Chenyan Xiong, Ashwin Srinivasan, Ankita Sharma, Damien Jose, Paul Bennett
ACL 2022 | May 2022
Recommendations as Treatments
Thorsten Joachims, Ben London, Yi Su, Adith Swaminathan, Lequn Wang
AI Magazine | November 2021, Vol 42(3): pp. 19-30
Universal Search and Recommendation
Paul Bennett
October 2021
Contrastive Multi-document Question Generation
Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan
European Chapter of the Association for Computational Linguistics (EACL) | April 2021
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul Bennett, Junaid Ahmed, Arnold Overwijk
International Conference on Learning Representations (ICLR) | April 2021
A Report on the First Workshop on Document Intelligence (DI) at NeurIPS 2019
Hamid Motahari, Nigel Duffy, Paul Bennett, Tania Bedrax-Weiss
SigKDD Explorations | December 2020, Vol 22(2)
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett
MSR-TR-2020-49 | November 2020
Published by Microsoft
The participation report of our top non-manual entry in TREC COVID Round 2.
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel, Saleema Amershi, Paul Bennett, Peter Bailey, Thorsten Joachims
Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
An Eye Tracking Study of Web Search by People with and without Dyslexia
Srishti Palani, Adam Fourney, Shane Williams, Kevin Larson, Irina Spiridonova, Meredith Ringel Morris
SIGIR 2020 | July 2020
Recent Advances in Conversational Information Retrieval
Jianfeng Gao, Chenyan Xiong, Paul Bennett
SIGIR 2020 | July 2020
Tutorial Slides
Contextual Re-Ranking with Behavior Aware Transformers
Chenyan Xiong, Chen Qu, Yizhe Zhang, Corby Rosset, W. Bruce Croft, Paul Bennett
SIGIR 2020 | July 2020
CAsT-19: A Dataset for Conversational Information Seeking
Jeff Dalton, Chenyan Xiong, Vaibhav Kumar, Jamie Callan
SIGIR 2020 | July 2020
Knowledge Enhanced Personalized Search
Shuqi Lu, Zhicheng Dou, Chenyan Xiong, Xiaojie Wang, Ji-Rong Wen
SIGIR 2020 | July 2020
An Empirical Study of Software Exceptions in the Field using Search Logs
Foyzul Hassan, Chetan Bansal, Nachi Nagappan, Tom Zimmermann, Ahmed Awadallah
ESEM 2020 | July 2020
Few-Shot Generative Conversational Query Rewriting
Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul Bennett, Jianfeng Gao, Zhiyuan Liu
SIGIR 2020 | June 2020
Best Short Paper Award
Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life
Jonathan Liono, Mohammad Saiedur Rahaman, Flora D Salim, Yongli Ren, Damiano Spina, Falk Scholer, Johanne R Trippas, Mark Sanderson, Ryen W. White, Paul Bennett
2020 International Conference on Multimedia Retrieval | June 2020
Fine-grained Fact Verification with Kernel Graph Attention Network
Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu
ACL 2020 | June 2020
Analyzing and Learning from User Interactions for Search Clarification
Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul Bennett, Nick Craswell, Susan Dumais
Proceedings of the 43rd international ACM SIGIR conference on Research & development in information retrieval | May 2020
Transformer-XH: Multi-evidence Reasoning with Extra Hop Attention
Chen Zhao, Chenyan Xiong, Corby Rosset, Xia Song, Paul Bennett, Saurabh Tiwary
The Eighth International Conference on Learning Representations (ICLR 2020) | April 2020
Improving Learning Outcomes with Gaze Tracking and Automatic Question Generation
Rohail Syed, Kevyn Collins-Thompson, Paul Bennett, Mengqiu Tang, Shane Williams, Shamsi Iqbal, Wendy Tay
The Web Conference 2020 (formerly WWW conference) | April 2020
Selective Weak Supervision for Neural Information Retrieval
Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu
The Web Conference 2020 (formerly WWW conference) | April 2020
Complex Factoid Question Answering with a Free-Text Knowledge Graph
Chen Zhao, Chenyan Xiong, Xin Qian, Jordan Boyd-Graber
The Web Conference 2020 (formerly WWW conference) | April 2020
Generating Clarifying Questions for Information Retrieval
Hamed Zamani, Susan Dumais, Nick Craswell, Paul Bennett, Gord Lueck
The Web Conference 2020 (formerly WWW conference) | April 2020
Leading Conversational Search by Suggesting Useful Questions
Corby Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul Bennett
The Web Conference 2020 (formerly WWW conference) | April 2020
On How People Navigate Through Their Personal Web of Things
Dhivya Eswaran, Shamsi Iqbal, Adam Fourney, Shane Williams, Paul Bennett
CHI 2020 Workshop on Speculative Designs for Emergent Personal Data Trails | April 2020
Characterizing Search-Engine Traffic to Internet Research Agency Web Properties
Alexander Spangher, Gireeja Ranade, Besmira Nushi, Adam Fourney, Eric Horvitz
The Web Conference (TheWebConf ’20) | April 2020
Toward Activity Discovery in the Personal Web
Tara Safavi, Adam Fourney, Robert Sim, Marcin Juraszek, Shane Williams, Ned Friend, Danai Koutra, Paul Bennett
The 13th ACM International Conference on Web Search and Data Mining (WSDM) | February 2020
Open Domain Web Keyphrase Extraction Beyond Language Modeling
Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk
Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) | November 2019
VERSE: Bridging Screen Readers and Voice Assistants for Enhanced Eyes-Free Web Search
Alexandra Vtyurina, Adam Fourney, Meredith Ringel Morris, Leah Findlater, Ryen W. White
ASSETS 2019 | October 2019
Best Paper Nominee
Neural Document Expansion with User Feedback
Yue Yin, Chenyan Xiong, Cheng Luo, Zhiyuan Liu
ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR) | October 2019
Generic Intent Representation in Web Search
Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul Bennett, Nick Craswell, Saurabh Tiwary
The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) | July 2019
Target-Guided Open-Domain Conversation
Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu
Annual Meeting of the Association for Computational Linguistics (ACL) | July 2019
Will You Accept an Imperfect AI? Exploring Designs for Adjusting End-user Expectations of AI Systems
Rafal Kocielnik, Saleema Amershi, Paul Bennett
CHI 2019 | May 2019
IRJ Special Issue on Knowledge Graphs and Semantics in Text Analysis and Retrieval
Laura Dietz, Chenyan Xiong, Jeff Dalton, Edgar Meij, (as guest editors)
Information Retrieval | March 2019, Vol 22
Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory
Tobias Schnabel, Paul Bennett, Thorsten Joachims
The 12th ACM International Conference on Web Search and Data Mining (WSDM 2019) | March 2019
Understanding Context for Tasks and Activities
Jan Benetka, John Krumm, Paul Bennett
The Fourth ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019) | March 2019
Learning About Work Tasks to Inform Intelligent Assistant Design
Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Awadallah, Peter Bailey, Paul Bennett, Ryen W. White, Jonathan Liono, Yongli Ren, Flora D. Salim, Mark Sanderson
The Fourth ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019) | March 2019
Representing and Recommending Shopping Baskets with Complementarity, Compatibility, and Loyalty
Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian McAuley
27th ACM International Conference on Information and Knoweldge Management | October 2018
Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
Emre Kiciman, Jorgen Thelin
1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
Assessing the Readability of Web Search Results for Searchers with Dyslexia
Adam Fourney, Meredith Ringel Morris, Abdullah Ali, Laura Vonessen
The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2018
Calendar-Aware Proactive Email Recommendation
Qian Zhao, Paul Bennett, Adam Fourney, Anne Loomis Thompson, Shane Williams, Adam D. Troy, Susan Dumais
Proceedings of the 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018) | July 2018
Deep Learning with Logged Bandit Feedback
Thorsten Joachims, Adith Swaminathan, Maarten de Rijke
2018 International Conference on Learning Representations | May 2018
Understanding the Needs of Searchers with Dyslexia
Meredith Ringel Morris, Adam Fourney, Abdullah Ali, Laura Vonessen
2018 ACM Conference on Human Factors in Computing Systems (CHI) | April 2018
Characterizing Search in Productivity Software
Horatiu Bota, Adam Fourney, Susan Dumais, Tomasz L. Religa, Robert Rounthwaite
Proceedings of CHIIR 2018 | March 2018
Off-Policy Evaluation For Slate Recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal, Miro Dudík, John Langford, Damien Jose, Imed Zitouni
2017 Neural Information Processing Systems | December 2017
Characterizing and Predicting Enterprise Email Reply Behavior
Liu Yang, Susan Dumais, Paul Bennett, Ahmed Awadallah
Proceedings of the 40th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017) | December 2017
Self-Es: The Role of Emails-to-Self in Personal Information Management
Horatiu Bota, Paul N. Bennett, Ahmed Awadallah, Susan T. Dumais
Proceedings of the 2nd ACM Conference on Human Information Interaction and Retrieval (CHIIR ’17) | November 2017
Web Search as a Linguistic Tool
Adam Fourney, Meredith Ringel Morris, Ryen W. White
Proceedings of WWW 2017 | April 2017
Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media
Alexandra Olteanu, Onur Varol, Emre Kiciman
Proceedings of The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing | February 2017
ISBN: 978-1-4503-4335-0/17/03
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims, Adith Swaminathan, Tobias Schnabel
2017 Web Search and Data Mining | February 2017
Best Paper Award
Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints
Paul N. Bennett, David M. Chickering, Christopher Meek, Xiaojin Zhu
Proceedings of the 10th ACM International Conference on Web Search and Data Mining (WSDM ’17) | February 2017
Unbiased Comparative Evaluation of Ranking Functions
Tobias Schnabel, Adith Swaminathan, Peter Frazier, Thorsten Joachims
ACM International Conference on the Theory of Information Retrieval | September 2016
Characterizing Cross-Domain Search Behavior
Rishabh Mehrotra, Paul N. Bennett, Susan Dumais, Jaime Teevan
Proceedings of the Second Workshop on Heterogeneous Information Access at SIGIR 2016 (HIA’16) | July 2016
Automatic Identification and Contextual Reformulation of Implicit System-Related Queries
Proceedings of the 39th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’16) | July 2016
Analyzing and Predicting Task Reminders
David Graus, Paul N. Bennett, Ryen W. White, Eric Horvitz
Proceedings of the 24th ACM Conference on User Modeling, Adaptation, and Personalization (UMAP ’16) | July 2016
Best Student Paper
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, Thorsten Joachims
2016 International Conference on Machine Learning | June 2016
Towards an Open-Domain Framework for Distilling the Outcomes of Personal Experiences from Social Media Timelines
Alexandra Olteanu, Onur Varol, Emre Kiciman
International Conference on Web and Social Media (ICWSM) | May 2016
Using Shortlists to Support Decision Making and Improve Recommender System Performance
Tobias Schnabel, Paul N. Bennett, Susan T. Dumais, Thorsten Joachims
Proceedings of the 25th International World Wide Web Conference (WWW ’16) | May 2016
Mining Tasks from the Web Anchor Text Graph: MSR Notebook Paper for the TREC 2015 Tasks Track
Paul N. Bennett, Ryen W. White
Proceedings of the 24th Text Retrieval Conference (TREC ’15) | January 2016
Building Effective Query Classifiers: A Case Study in Self-harm Intent Detection
Ashiqur R. KhudaBukhsh, Paul N. Bennett, Ryen W. White
Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia | October 2015
Implicit Preference Labels for Learning Highly Selective Personalized Rankers
Paul N. Bennett, Milad Shokouhi, Rich Caruana
Proceedings of the 1st ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2015) | September 2015
Persona-ization: Searching on Behalf of Others
Paul N. Bennett, Alexander Fishkov, Emre Kiciman
Proceedings of the SIGIR 2015 International Workshop on Social Personalisation & Search (SPS’15) | August 2015
International Workshop on Social Personalisation & Search (SPS 2015)
Modeling Website Topic Cohesion at Scale to Improve Webpage Classification
Dhivya Eswaran, Paul N. Bennett, Joseph J. Pfeiffer
(Poster-Paper) Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2015) | August 2015
Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships from Social Media
Emre Kiciman, Matthew Richardson
KDD ’15 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2015
Knowledge Discovery and Data Mining (KDD)
Events and Controversies: Influences of a Shocking News Event on Information Seeking
Danai Koutra, Paul N. Bennett, Eric Horvitz
Proceedings of the 24th Annual International World Wide Web Conference (WWW ’15) (This paper revises and extends work in TAIA Workshop at SIGIR 2014 and arXiv:1405.1486.) | May 2015
Query Suggestion and Data Fusion in Contextual Disambiguation
Milad Shokouhi, Marc Sloan, Paul N. Bennett, Kevyn Collins-Thompson, Siranush Sarkizova
Proceedings of the 24th International World Wide Web Conference (WWW 2015) | May 2015
Slides at: http://www.slideshare.net/shokouhi1/query-suggestion-and-data-fusion-in-contextual-disambiguation
Exploring Time-Dependent Concerns about Pregnancy and Childbirth from Search Logs
Adam Fourney, Ryen W. White, Eric Horvitz
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI ’15) | April 2015
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15)
ISBN: 978-1-4503-3145-6
Best of CHI honorable mention
Towards Learning a Knowledge Base of Actions from Experiential Microblogs
AAAI Spring Symposium on Knowledge Representation and Reasoning | March 2015
AAAI Spring Symposium on Knowledge Representation and Reasoning
Overview of the Special Issue on Contextual Search and Recommendation
Paul N. Bennett, Kevyn Collins-Thompson, Diane Kelly, Ryen W. White, Yi Zhang
ACM Transactions on Information Systems | March 2015
Special Issue of ACM TOIS on Contextual Search and Recommendation
Paul N. Bennett, Kevyn Collins-Thompson, Diane Kelly, Ryen White, Yi Zhang, (guest eds)
Published by ACM | March 2015, Vol 33
Overview of the TREC 2014 Web Track
Kevyn Collins-Thompson, Craig Macdonald, Paul N. Bennett, Fernando Diaz, Ellen M. Voorhees
In Proceedings of the 23rd Text REtrieval Conference (TREC ’14) | February 2015
Understanding Intrinsic Diversity in Web Search: Improving Whole-Session Relevance
Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson
ACM Transactions on Information Systems (TOIS) | October 2014, Vol 32
Influences of a Shocking News Event on Web Browsing
Danai Koutra, Paul N. Bennett, Eric Horvitz
Proceedings of the SIGIR 2014 Workshop on Temporal, Social and Spatially-aware Information Access (TAIA’14) (This paper also appers as arXiv:1405.1486 and was later revised and extended in WWW 2015 paper of similar name.) | July 2014
Selfsourcing Personal Tasks
Dan Liebling, Jaime Teevan, Walter S. Lasecki
Proceedings of CHI 2014 | April 2014
Seeking and Sharing Health Information Online: Comparing Search Engines and Social Media
Munmun De Choudhury, Meredith Ringel Morris, Ryen W. White
Proceedings of CHI 2014 | April 2014
Supporting Interpersonal Interaction during Collaborative Mobile Search
Jaime Teevan, Meredith Ringel Morris
IEEE Computer | March 2014, Vol 47(3): pp. 54-57
Entity Linking at the Tail: Sparse Signals, Unknown Entities and Phrase Models
Yuzhe Jin, Emre Kiciman, Kuansan Wang, Ricky Loynd
WSDM ’14 Proceedings of the 7th ACM international conference on Web search and data mining | February 2014
TREC 2013 Web Track Overview
Kevyn Collins-Thompson, Paul N. Bennett, Fernando Diaz, Charles L. A. Clarke, Ellen M. Vorhees
Proceedings of the 22nd Text REtrieval Conference (TREC 2013) | February 2014
To Search or to Ask: The Routing of Information Needs Between Traditional Search Engines and Social Networks
Anne Oeldorf-Hirsch, Brent Hecht, Meredith Ringel Morris, Jaime Teevan, Darren Gergle
Proceedings of CSCW 2014 | February 2014
Using Physical Signaling to Support Collaborative Mobile Search
Jaime Teevan, Meredith Ringel Morris, Shiri Azenkot
Extended Abstracts of CSCW 2014 | February 2014
Personalization via Probabilistic Adaptation
David Sontag, Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. White, Susan Dumais, Bodo von Billerbeck
NIPS 2013 Workshop on Personalization (An extended abstract of work that first appeared in WSDM 2012) | December 2013
Fighting Search Engine Amnesia: Reranking Repeated Results
Milad Shokouhi, Ryen W. White, Paul N. Bennett, Filip Radlinski
Proceedings of the 36th Annual ACM SIGIR Conference (SIGIR 2013) | July 2013
Towards Supporting Search over Trending Events with Social Media
Sanjay Kairam, Meredith Ringel Morris, Jaime Teevan, Dan Liebling, Susan Dumais
Proceedings of ICWSM 2013 | July 2013
Best Paper Honorable Mention
A Crowd-Powered Socially Embedded Search Engine
Jin-Woo Jeong, Meredith Ringel Morris, Jaime Teevan, Dan Liebling
Proceedings of ICWSM 2013 | July 2013
Toward Whole-Session Relevance: Exploring Intrinsic Diversity in Web Search
Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson
Proceedings of the 36th Annual ACM SIGIR Conference (SIGIR 2013) | July 2013
Best Student Paper
Designing Human-Readable User Profiles for Search Evaluation
Carsten Eickhoff, Kevyn Collins-Thompson, Paul N. Bennett, Susan Dumais
Short-paper in Proceedings of the 35th ACM European Conference on Information Retrieval (ECIR ’13) | March 2013
Personalizing Atypical Web Search Sessions
Carsten Eickhoff, Kevyn Collins-Thompson, Paul N. Bennett, Susan Dumais
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM ’13) | February 2013
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM '13)
Predicting Content Change on the Web
Kira Radinsky, Paul N. Bennett
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM ’13) | February 2013
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM '13)
Pairwise Ranking Aggregation in a Crowdsourced Setting
Xi Chen, Paul N. Bennett, Kevyn Collins-Thompson, Eric Horvitz
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM ’13) | February 2013
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM '13)
Anticipatory Search: Using Context to Initiate Search
Dan Liebling, Paul Bennett, Ryen W. White
Proc. SIGIR 2012 | August 2012
Active Query Selection for Learning Rankers
Mustafa Bilgic, Paul Bennett
Poster-Paper in Proceedings of the 35th Annual ACM SIGIR Conference (SIGIR 2012). | August 2012
Modeling the Impact of Short- and Long-Term Behavior on Search Personalization
Paul Bennett, Ryen W. White, Wei Chu, Susan Dumais, Peter Bailey, Fedor Borisyuk, Xiaoyuan Cui
Proceedings of the 35th Annual ACM SIGIR Conference (SIGIR 2012) | August 2012
Search, Interrupted: Understanding and Predicting Search Task Continuation
Eugene Agichtein, Ryen W. White, Susan Dumais, Paul Bennett
Proceedings of the 35th Annual ACM SIGIR Conference (SIGIR 2012) | August 2012
Anticipatory Search: Using Context to Initiate Search
Dan Liebling, Ryen W. White, Paul Bennett
Proceedings of the 35th Annual ACM SIGIR Conference (SIGIR 2012) | August 2012
(to appear)
Robust Ranking Models via Risk-Sensitive Optimization
Lidan Wang, Paul Bennett, Kevyn Collins-Thompson
Proceedings of the 35th Annual ACM SIGIR Conference (SIGIR 2012) | August 2012
Best Paper Runner-Up
Active Sampling of Networks
Joel J. Pfeiffer, Jennifer Neville, Paul Bennett
Proceedings of the ICML 2012 Workshop on Mining and Learning with Graphs | July 2012
SearchBuddies: Bringing Search Engines into the Conversation
Brent Hecht, Jaime Teevan, Meredith Ringel Morris, Dan Liebling
Proc. ICWSM 2012 | June 2012
Direct Answers for Search Queries in the Long Tail
Michael S. Bernstein, Jaime Teevan, Susan Dumais, Dan Liebling, Eric Horvitz
Proc. CHI 2012 | May 2012
Best Paper, Honorable Mention
Probabilistic Models for Personalizing Web Search
David Sontag, Kevyn Collins-Thompson, Paul Bennett, Ryen W. White, Susan Dumais, Bodo von Billerbeck
WSDM 2012: Fifth International Conference on Web Search and Data Miniing | February 2012
Characterizing Web Content, User Interests, and Search Behavior by Reading Level and Topic
Jinyoung Kim, Kevyn Collins-Thompson, Paul Bennett, Susan Dumais
WSDM 2012: Proceedings of the 5th ACM International Conference on Web Search and Data Mining | February 2012
WSDM 2012: Proceedings of the 5th ACM International Conference on Web Search and Data Mining
Personalizing Web Search Results by Reading Level
Kevyn Collins-Thompson, Paul Bennett, Ryen W. White, Sebastian de la Chica, David Sontag
Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM 2011) | October 2011
Inferring and Using Location Metadata to Personalize Web Search
Paul Bennett, Filip Radlinski, Ryen W. White, Emine Yilmaz
Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR) | July 2011
Modeling and Analysis of Cross-Session Search Tasks
Alexander Kotov, Paul Bennett, Ryen W. White, Susan Dumais, Jaime Teevan
Proceedings of SIGIR 2011 | July 2011
The Effects of Choice in Routing Relevance Judgments
Edith Law, Paul Bennett, Eric Horvitz
Proceedings of the 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011) | July 2011
Fractional Similarity: Cross-lingual Feature Selection for Search
Jagadeesh Jagarlamudi, Paul Bennett
Proceedings of the 33rd Annual European Conference on Information Retrieval (ECIR 2011) | April 2011
Proceedings of the 33rd Annual European Conference on Information Retrieval (ECIR 2011)
Understanding and Predicting Personal Navigation
Jaime Teevan, Dan Liebling, Gayathri Ravichandran Geetha
Proc. WSDM 2011 | February 2011
Detecting Duplicate Web Documents using Clickthrough Data
Filip Radlinski, Paul Bennett, Emine Yilmaz
ACM International Conference on Web Search and Data Mining (WSDM) | February 2011
Predicting Short-term Interests Using Activity-Based Search Contexts
Ryen W. White, Paul Bennett, Susan Dumais
Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM ’10) | October 2010
Online Stratified Sampling: Evaluating Classifiers at Web-Scale
Paul Bennett, Vitor Carvalho
Short-Paper in Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM ’10) | October 2010
Short-Paper in Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM '10)
Classification-enhanced Ranking
Paul Bennett, Krysta M. Svore, Susan Dumais, Krysta M. Svore
Proceedings of World Wide Web | April 2010
Predicting Query Performance via Classification
Kevyn Collins-Thompson, Paul Bennett
Proceedings of the 32nd Annual European Conference on Information Retrieval (ECIR 2010) | March 2010
Proceedings of the 32nd Annual European Conference on Information Retrieval (ECIR 2010)
Collaborative Web Search: Who, What, Where, When, and Why?
Meredith Ringel Morris, Jaime Teevan
Published by Morgan & Claypool | January 2010
ISBN: 1608451216
What Do People Ask Their Social Networks, and Why? A Survey Study of Status Message Q&A Behavior
Meredith Ringel Morris, Jaime Teevan, Katrina Panovich
Proceedings of CHI 2010 | January 2010
Individual Differences In Gaze Patterns For Web Search
Susan Dumais, Georg Buscher, Ed Cutrell
Proceeding of the third symposium on Information Interaction in Context | January 2010
Proceeding of the third symposium on Information Interaction in Context
ISBN: 978-1-4503-0247-0
The Good, the Bad, and the Random: An Eye-Tracking Study of Ad Quality in Web Search
Georg Buscher, Susan Dumais, Ed Cutrell
Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval | January 2010
ISBN: 978-1-4503-0153-4
Redundancy, Diversity, and Interdependent Document Relevance, a summary of the SIGIR 2009 workshop
Filip Radlinski, Paul Bennett, Ben Carterette
SIGIR Forum | December 2009
Discovery Is Never by Chance: Designing for (Un)Serendipity
Paul André, m.c. schraefel, Jaime Teevan, Susan Dumais
Proc. Creativity & Cognition 2009 | October 2009
Changing How People View Changes on the Web
Jaime Teevan, Susan Dumais, Dan Liebling, Richard Hughes
Proceedings UIST ’09, Victoria, BC, Canada | October 2009
Refined Experts: Improving Classification in Large Taxonomies
Paul Bennett, Nam Nguyen
Proceedings of the 32nd Annual ACM SIGIR Conference | July 2009
Viewing Personal Data Over Time
Sonja Knoll, Aaron Hoff, Danyel Fisher, Susan Dumais, Ed Cutrell
April 2009
CHI 2009 Workshop on Interacting with Temporal Data
Estimating Query Performance using Class Predictions
Kevyn Collins-Thompson, Paul Bennett
Poster-Paper in Proceedings of the 32nd Annual ACM SIGIR Conference (SIGIR 2009) | January 2009
Poster-Paper in Proceedings of the 32nd Annual ACM SIGIR Conference (SIGIR 2009)
Picture This: Preferences for Image Search
Paul Bennett, Max Chickering, Anton Mityagin
Demo-paper in the Human Computation 2009 Workshop at KDD ’09 | January 2009
Learning Consensus Opinion: Mining Data from a Labeling Game
Paul Bennett, Max Chickering, Anton Mityagin
Proceedings of the 18th Annual International World Wide Web Conference (WWW ’09) | January 2009
Proceedings of the 18th Annual International World Wide Web Conference (WWW '09)
Understanding Groups’ Properties as a Means of Improving Collaborative Search Systems
Meredith Ringel Morris, Jaime Teevan
JCDL 2008 Workshop on Collaborative Information Retrieval | June 2008
Evaluation Measures for Preference Judgments
Ben Carterette, Paul Bennett
Poster-Paper in Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval | January 2008
Poster-Paper in Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Here or There: Preference Judgments for Relevance
Ben Carterette, Paul Bennett, Max Chickering, Susan Dumais
Proceedings of ECIR 2008 | January 2008
Proceedings of ECIR 2008
ECIR 2018 Test of Time Honorable Mention
Neighborhood-Based Local Sensitivity
Paul N. Bennett
Proceedings of ECML 2007 | September 2007
Proceedings of ECML 2007
Combining Probability-Based Rankers for Action-Item Detection
Paul N. Bennett, Jaime Carbonell
Proceedings of HLT-NAACL 2007 | April 2007
Proceedings of HLT-NAACL 2007
Exploring Personal Information
Edward Cutrell, Susan Dumais, Ed Cutrell
Communications of the ACM (Special Issue: Supporting Exploratory Search) | January 2006
The Combination of Text Classifiers Using Reliability Indicators
Paul N. Bennett, Susan Dumais, Eric Horvitz
Informtion Retrieval (This paper revises and extends work originally presented in [Bennett, Dumais, & Horvitz; SIGIR 2002].) | March 2005, Vol 8: pp. 67-100
Probabilistic Combination of Text Classifiers Using Reliability Indicators: Models and Results
Paul N. Bennett, Susan Dumais, Eric Horvitz
Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2002) (An extended and revised version of this work appears in Information Retrieval, 2005.) | August 2002
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The Use of Generative Search Engines for Knowledge Work and Complex Tasks
Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang
March 2024
Workplace Recommendation with Temporal Network Objectives
Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu
2023 Knowledge Discovery and Data Mining | August 2023
Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
Emre Kiciman, Jorgen Thelin
1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use
Emre Kiciman, Scott Counts, Melissa Gasser
In Proceedings of 12th International Conference on Web and Social Media (ICWSM-18) | June 2018
Effects of Individual Differences in Blocking Workplace Distractions
Gloria Mark, Mary Czerwinski, Shamsi Iqbal
2018 ACM Conference on Human Factors in Computing Systems (CHI) | April 2018
Geographic and Temporal Trends in Fake News Consumption During the 2016 US Presidential Election
Adam Fourney, Miklos Z. Racz, Gireeja Ranade, Markus Mobius, Eric Horvitz
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management | November 2017
ISBN: 978-1-4503-4918-5
The Language of Social Support in Social Media and its Effect on Suicidal Ideation Risk
Munmun De Choudhury, Emre Kiciman
Proceedings of the International Conference on Web and Social Media (ICWSM-17) | May 2017
Best Paper Award
Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media
Alexandra Olteanu, Onur Varol, Emre Kiciman
Proceedings of The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing | February 2017
ISBN: 978-1-4503-4335-0/17/03
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
December 2016
Information Dissemination in Heterogeneous-Intent Networks
Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman, Onur Varol
Web Science | May 2016
Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media
Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar
CHI ’16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems | May 2016
Honorable Mention
Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media
Munmun De Choudhury, Sanket S. Sharma, Emre Kiciman
19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | February 2016
19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
Online and Social Media Data As an Imperfect Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
PlosONE | January 2016, Vol 11
Building Effective Query Classifiers: A Case Study in Self-harm Intent Detection
Ashiqur R. KhudaBukhsh, Paul N. Bennett, Ryen W. White
Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia | October 2015
Persona-ization: Searching on Behalf of Others
Paul N. Bennett, Alexander Fishkov, Emre Kiciman
Proceedings of the SIGIR 2015 International Workshop on Social Personalisation & Search (SPS’15) | August 2015
International Workshop on Social Personalisation & Search (SPS 2015)
Events and Controversies: Influences of a Shocking News Event on Information Seeking
Danai Koutra, Paul N. Bennett, Eric Horvitz
Proceedings of the 24th Annual International World Wide Web Conference (WWW ’15) (This paper revises and extends work in TAIA Workshop at SIGIR 2014 and arXiv:1405.1486.) | May 2015
Towards Learning a Knowledge Base of Actions from Experiential Microblogs
AAAI Spring Symposium on Knowledge Representation and Reasoning | March 2015
AAAI Spring Symposium on Knowledge Representation and Reasoning
Influences of a Shocking News Event on Web Browsing
Danai Koutra, Paul N. Bennett, Eric Horvitz
Proceedings of the SIGIR 2014 Workshop on Temporal, Social and Spatially-aware Information Access (TAIA’14) (This paper also appers as arXiv:1405.1486 and was later revised and extended in WWW 2015 paper of similar name.) | July 2014
Online And Social Media Data As A Flawed Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
MSR-TR-2014-159 | May 2014
Effect of Persuasion on Information Diffusion in Social Networks
Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman
MSR-TR-2014-69 | May 2014
SearchBuddies: Bringing Search Engines into the Conversation
Brent Hecht, Jaime Teevan, Meredith Ringel Morris, Dan Liebling
Proc. ICWSM 2012 | June 2012
Direct Answers for Search Queries in the Long Tail
Michael S. Bernstein, Jaime Teevan, Susan Dumais, Dan Liebling, Eric Horvitz
Proc. CHI 2012 | May 2012
Best Paper, Honorable Mention
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Classified Displays of Web Search Results
Susan Dumais, Ed Cutrell, Hao Chen
Advances in Classification Research Online Invited presentation at ASIS&T SIG/CR Classification Research Workshop | November 2000, Vol 11
Imagining future digital assistants at work: A study of task management needs
Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman, Jonathan Liono, Johanne R. Trippas, Damiano Spina, Peter Bailey, Nicholas J. Belkin, Paul Bennett, Yongli Ren, Mark Sanderson, Falk Scholer, Ryen W. White, Flora D. Salim
International Journal of Human-Computer Studies | December 2022, Vol 168
HINT: Integration Testing for AI-based Features with Humans in the Loop
Quanze Chen, Tobias Schnabel, Besmira Nushi, Saleema Amershi
International Conference on Intelligent User Interfaces | March 2022
Scraps: Enabling Mobile Capture, Contextualization, and Use of Document Resources
Amanda Swearngin, Shamsi Iqbal, Victor Poznanski, Mark Encarnación, Paul Bennett, Jaime Teevan
ACM CHI 2021 | May 2021
Honorable Mention
“Who doesn’t like dinosaurs?” Finding and Eliciting Richer Preferences for Recommendation
Tobias Schnabel, Gonzalo Ramos, Saleema Amershi
14th ACM Conference on Recommender Systems | September 2020
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel, Saleema Amershi, Paul Bennett, Peter Bailey, Thorsten Joachims
Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
An Eye Tracking Study of Web Search by People with and without Dyslexia
Srishti Palani, Adam Fourney, Shane Williams, Kevin Larson, Irina Spiridonova, Meredith Ringel Morris
SIGIR 2020 | July 2020
Improving Learning Outcomes with Gaze Tracking and Automatic Question Generation
Rohail Syed, Kevyn Collins-Thompson, Paul Bennett, Mengqiu Tang, Shane Williams, Shamsi Iqbal, Wendy Tay
The Web Conference 2020 (formerly WWW conference) | April 2020
On How People Navigate Through Their Personal Web of Things
Dhivya Eswaran, Shamsi Iqbal, Adam Fourney, Shane Williams, Paul Bennett
CHI 2020 Workshop on Speculative Designs for Emergent Personal Data Trails | April 2020
VERSE: Bridging Screen Readers and Voice Assistants for Enhanced Eyes-Free Web Search
Alexandra Vtyurina, Adam Fourney, Meredith Ringel Morris, Leah Findlater, Ryen W. White
ASSETS 2019 | October 2019
Best Paper Nominee
Mercury: Empowering Programmers’ Mobile Work Practices with Microproductivity
Alex Williams, Harmanpreet Kaur, Shamsi Iqbal, Ryen W. White, Jaime Teevan, Adam Fourney
UIST 2019 | October 2019
Interrupted by my car? Implications of interruption and interleaving research for automated vehicles.
Christian P.Janssen, Shamsi Iqbal, Andrew L. Kun, Stella F. Donker
International Journal of Human-Computer Studies | October 2019, Vol 130: pp. 221-233
Ten simple rules for helping newcomers become contributors to open projects
Dan Sholler, Igor Steinmacher, Denae Ford, Mara Averick, Mike Hoye, Greg Wilson
PLoS Computational Biology | September 2019, Vol 15
Studying Preferences and Concerns about Information Disclosure in Email Notifications
Yongsung Kim, Adam Fourney, Ece Kamar
The Web Conference (WWW ’19) | May 2019
Casual Microtasking: Embedding Microtasks in Facebook
Nathan Hahn, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
The Impact of Web Browser Reader Views on Reading Speed and User Experience
Qisheng Li, Meredith Ringel Morris, Adam Fourney, Kevin Larson, Katherina Reinecke
CHI 2019 | May 2019
How Remote Work Can Foster a More Inclusive Environment for Transgender Developers
Denae Ford, Reed Milewicz, Alexander Serebrenik
In proceedings of the ACM/IEEE ICSE 2nd International Workshop on Gender Equality in Software Engineering (GE) | May 2019
Beyond the Code Itself: How Programmers Really Look at Pull Requests
Denae Ford, Mahnaz Behroozi, Alexander Serebrenik, Chris Parnin
In proceedings of the ACM/IEEE Internationl Conference on Software Engineering – Software Engineering in Society (ICSE SEIS) | May 2019
An Exploration of Speech-Based Productivity Support in the Car
Nikolas Martelaro, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
Will You Accept an Imperfect AI? Exploring Designs for Adjusting End-user Expectations of AI Systems
Rafal Kocielnik, Saleema Amershi, Paul Bennett
CHI 2019 | May 2019
Learning About Work Tasks to Inform Intelligent Assistant Design
Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Awadallah, Peter Bailey, Paul Bennett, Ryen W. White, Jonathan Liono, Yongli Ren, Flora D. Salim, Mark Sanderson
The Fourth ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019) | March 2019
How Should Compilers Explain Problems to Developers?
Titus Barik, Denae Ford, Emerson Murphy-Hill, Chris Parnin
ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) | November 2018
Selfies as Social Movements: Influences on Participation and Perceived Impact on Stereotypes
Fannie Liu, Denae Ford, Laura Dabbish, Chris Parnin
In proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW) | November 2018
Creating Better Action Plans for Writing Tasks via Vocabulary-Based Planning
Harmanpreet Kaur, Alex Williams, Anne Loomis Thompson, Walter Lasecki, Shamsi Iqbal, Jaime Teevan
Computer-Supported Cooperative Work (CSCW) | November 2018
Multitasking with Play Write, a Mobile Microproductivity Tool
Shamsi Iqbal, Jaime Teevan, Dan Liebling, Anne Loomis Thompson
UIST 2018 | October 2018
Assessing the Readability of Web Search Results for Searchers with Dyslexia
Adam Fourney, Meredith Ringel Morris, Abdullah Ali, Laura Vonessen
The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2018
Dazed: Measuring the Cognitive Load of Solving Technical Interview Problems At the Whiteboard
Mahnaz Behroozi, Alison Lui, Ian Moore, Denae Ford , Chris Parnin
In proceedings of the IEEE International Conference on Software Engineering – New Ideas and Emerging Results Track (ICSE NIER) | May 2018
“We Don’t Do That Here”: How Collaborative Editing with Mentors Improves Engagement in Social Q&A Communities
Denae Ford , Kristina Lustig, Jeremy Banks, Chris Parnin
In proceedings of the ACM Conference on Human Factors in Computing Systems (CHI) | April 2018
Understanding the Needs of Searchers with Dyslexia
Meredith Ringel Morris, Adam Fourney, Abdullah Ali, Laura Vonessen
2018 ACM Conference on Human Factors in Computing Systems (CHI) | April 2018
Effects of Individual Differences in Blocking Workplace Distractions
Gloria Mark, Mary Czerwinski, Shamsi Iqbal
2018 ACM Conference on Human Factors in Computing Systems (CHI) | April 2018
Supporting Workplace Detachment and Reattachment with Conversational Intelligence
Alex Williams, Harmanpreet Kaur, Gloria Mark, Anne Loomis Thompson, Shamsi Iqbal, Jaime Teevan
2018 ACM Conference on Human Factors in Computing Systems (CHI ’18) | April 2018
Exploring the Role of Conversational Cues in Guided Task Support with Virtual Assistants
Alexandra Vtyurina, Adam Fourney
2018 ACM Conference on Human Factors in Computing Systems (CHI) | April 2018
Characterizing Search in Productivity Software
Horatiu Bota, Adam Fourney, Susan Dumais, Tomasz L. Religa, Robert Rounthwaite
Proceedings of CHIIR 2018 | March 2018
Self-Es: The Role of Emails-to-Self in Personal Information Management
Horatiu Bota, Paul N. Bennett, Ahmed Awadallah, Susan T. Dumais
Proceedings of the 2nd ACM Conference on Human Information Interaction and Retrieval (CHIIR ’17) | November 2017
Managing Uncertainty in Time Expressions for Virtual Assistants
Xin Rong, Adam Fourney, Robin N. Brewer, Meredith Ringel Morris, Paul N. Bennett
Proceedings of the 35th Annual CHI Conference on Human Factors in Computing Systems (CHI ’17) | May 2017
Best Paper Honorable Mention
Web Search as a Linguistic Tool
Adam Fourney, Meredith Ringel Morris, Ryen W. White
Proceedings of WWW 2017 | April 2017
Using Shortlists to Support Decision Making and Improve Recommender System Performance
Tobias Schnabel, Paul N. Bennett, Susan T. Dumais, Thorsten Joachims
Proceedings of the 25th International World Wide Web Conference (WWW ’16) | May 2016
Crowdsourcing in the Field: A Case Study Using Local Crowds for Event Reporting
Elena Agapie, Jaime Teevan, Andrés Monroy-Hernández
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing (HCOMP-15) | August 2015
Best Paper Award
Break It Down: A Comparison of Macro- and Microtasks
Justin Cheng, Jaime Teevan, Shamsi Iqbal, Michael S. Bernstein
ACM Conference on Human Factors for Computing Systems (CHI) | April 2015
Privacy Considerations for a Pervasive Eye Tracking World
Dan Liebling, Sören Preibusch
4th International Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction | September 2014
Gaze and Mouse Coordination in Everyday Work
Dan Liebling, Susan Dumais
4th International Conference on Pervasive Eye Tracking and Mobile Eye-Based Interaction | September 2014
Seeking and Sharing Health Information Online: Comparing Search Engines and Social Media
Munmun De Choudhury, Meredith Ringel Morris, Ryen W. White
Proceedings of CHI 2014 | April 2014
Supporting Interpersonal Interaction during Collaborative Mobile Search
Jaime Teevan, Meredith Ringel Morris
IEEE Computer | March 2014, Vol 47(3): pp. 54-57
To Search or to Ask: The Routing of Information Needs Between Traditional Search Engines and Social Networks
Anne Oeldorf-Hirsch, Brent Hecht, Meredith Ringel Morris, Jaime Teevan, Darren Gergle
Proceedings of CSCW 2014 | February 2014
Using Physical Signaling to Support Collaborative Mobile Search
Jaime Teevan, Meredith Ringel Morris, Shiri Azenkot
Extended Abstracts of CSCW 2014 | February 2014
Towards Supporting Search over Trending Events with Social Media
Sanjay Kairam, Meredith Ringel Morris, Jaime Teevan, Dan Liebling, Susan Dumais
Proceedings of ICWSM 2013 | July 2013
Best Paper Honorable Mention
A Crowd-Powered Socially Embedded Search Engine
Jin-Woo Jeong, Meredith Ringel Morris, Jaime Teevan, Dan Liebling
Proceedings of ICWSM 2013 | July 2013
Designing Human-Readable User Profiles for Search Evaluation
Carsten Eickhoff, Kevyn Collins-Thompson, Paul N. Bennett, Susan Dumais
Short-paper in Proceedings of the 35th ACM European Conference on Information Retrieval (ECIR ’13) | March 2013
Kinected Browser: Depth Camera Interaction for the Web
Dan Liebling, Meredith Ringel Morris
Proc. 2012 ACM Conference on Interactive Tabletops and Surfaces | November 2012
Proc. 2012 ACM Conference on Interactive Tabletops and Surfaces
Displaying Mobile Feedback During a Presentation
Jaime Teevan, Dan Liebling, Ann Paradiso, Carlos Garcia Jurado Suarez, Curtis von Veh, Darren Gehring
Proc. MobileHCI 2012 | September 2012
SearchBuddies: Bringing Search Engines into the Conversation
Brent Hecht, Jaime Teevan, Meredith Ringel Morris, Dan Liebling
Proc. ICWSM 2012 | June 2012
Direct Answers for Search Queries in the Long Tail
Michael S. Bernstein, Jaime Teevan, Susan Dumais, Dan Liebling, Eric Horvitz
Proc. CHI 2012 | May 2012
Best Paper, Honorable Mention
Trajectory-Aware Mobile Search
John Krumm, Jaime Teevan, Amy Karlson, A.J. Brush
CHI 2012 | May 2012
Effects of Community Size and Contact Rate in Synchronous Social Q&A
Ryen W. White, Matthew Richardson, Matthew Richardson, Yandong Liu
Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2011) | May 2011
Best Paper
Collaborative Web Search: Who, What, Where, When, and Why?
Meredith Ringel Morris, Jaime Teevan
Published by Morgan & Claypool | January 2010
ISBN: 1608451216
Cars, Calls and Cognition: Investigating Driving and Divided Attention
Shamsi Iqbal, Y. C. Ju, Eric Horvitz
ACM Conference on Human Factors in Computing Systems (CHI) | January 2010
What Do People Ask Their Social Networks, and Why? A Survey Study of Status Message Q&A Behavior
Meredith Ringel Morris, Jaime Teevan, Katrina Panovich
Proceedings of CHI 2010 | January 2010
Individual Differences In Gaze Patterns For Web Search
Susan Dumais, Georg Buscher, Ed Cutrell
Proceeding of the third symposium on Information Interaction in Context | January 2010
Proceeding of the third symposium on Information Interaction in Context
ISBN: 978-1-4503-0247-0
The Good, the Bad, and the Random: An Eye-Tracking Study of Ad Quality in Web Search
Georg Buscher, Susan Dumais, Ed Cutrell
Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval | January 2010
ISBN: 978-1-4503-0153-4
A report on the Human Computation Workshop (HComp 2009)
Panos G. Ipeirotis, Ramen Chandrasekar, Paul Bennett, Edith Law, Max Chickering, Anton Mityagin, Foster Provost, Luis von Ahn
KDD Explorations | December 2009, Vol 11: pp. 80-83
Changing How People View Changes on the Web
Jaime Teevan, Susan Dumais, Dan Liebling, Richard Hughes
Proceedings UIST ’09, Victoria, BC, Canada | October 2009
Understanding Groups’ Properties as a Means of Improving Collaborative Search Systems
Meredith Ringel Morris, Jaime Teevan
JCDL 2008 Workshop on Collaborative Information Retrieval | June 2008
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Classified Displays of Web Search Results
Susan Dumais, Ed Cutrell, Hao Chen
Advances in Classification Research Online Invited presentation at ASIS&T SIG/CR Classification Research Workshop | November 2000, Vol 11
Hindsight Learning for MDPs with Exogenous Inputs
Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
2023 International Conference on Machine Learning | July 2023
FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services
Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan
International Conference on Software Engineering | May 2019
Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
Emre Kiciman, Jorgen Thelin
1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
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Directions in Software Development and Maintenance
Ted J. Biggerstaff
MSR-TR-93-16 | September 1993
The SPACE of Developer Productivity: There’s more to it than you think
Nicole Forsgren, Margaret-Anne Storey, Chandra Maddila, Tom Zimmermann, Brian Houck, Jenna Butler
ACM Queue | February 2021, Vol 19(1): pp. 20-48
Large-Scale Intent Analysis for Identifying Large-Review-Effort Code Changes
Song Wang, Chetan Bansal, Nachi Nagappan
Information and Software Technology | February 2021, Vol 130
Survey on Onboarding Software Engineers During a Pandemic
Paige Rodeghero, Thomas Zimmermann, Denae Ford
MSR-TR-2020-36 | October 2020
Published by Microsoft
Feedback-Driven Semi-Supervised Synthesis of Program Transformations
Xiang Gao, Shraddha Barke, Arjun Radhakrishna, Gustavo Soares, Sumit Gulwani, Alan Leung, Nachi Nagappan, Ashish Tiwari
OOPSLA | October 2020
An Empirical Study of Software Exceptions in the Field using Search Logs
Foyzul Hassan, Chetan Bansal, Nachi Nagappan, Tom Zimmermann, Ahmed Awadallah
ESEM 2020 | July 2020
A Dataset of Dockerfiles
Jordan Henkel, Shuvendu Lahiri, Christian Bird, Thomas Reps
ICSE 2020 | July 2020
Towards a Theory of Software Developer Job Satisfaction and Perceived Productivity
Margaret-Anne Storey, Tom Zimmermann, Christian Bird, Jacek Czerwonka, Brendan Murphy, Eirini Kalliamvakou
IEEE Transactions on Software Engineering | September 2019
Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes
Song Wang, Chetan Bansal, Nachi Nagappan, Adithya Abraham Philip
PROMISE 2019 | September 2019
Ten simple rules for helping newcomers become contributors to open projects
Dan Sholler, Igor Steinmacher, Denae Ford, Mara Averick, Mike Hoye, Greg Wilson
PLoS Computational Biology | September 2019, Vol 15
WhoDo: Automating Reviewer Suggestions at Scale
Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Chetan Bansal, Christian Bird, Chandra Maddila, Sonu Mehta, B. Ashok
ESEC/FSE 2019 | August 2019
Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
Chandra Maddila, Chetan Bansal, Nachi Nagappan
ESEC/FSE 2019 | August 2019
Software Engineering for Machine Learning: A Case Study
Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLIne, Harald Gall, Ece Kamar, Nachi Nagappan, Besmira Nushi, Tom Zimmermann
International Conference on Software Engineering (ICSE 2019) – Software Engineering in Practice track | May 2019
ICSE 2019 Best Paper Award
How Remote Work Can Foster a More Inclusive Environment for Transgender Developers
Denae Ford, Reed Milewicz, Alexander Serebrenik
In proceedings of the ACM/IEEE ICSE 2nd International Workshop on Gender Equality in Software Engineering (GE) | May 2019
Beyond the Code Itself: How Programmers Really Look at Pull Requests
Denae Ford, Mahnaz Behroozi, Alexander Serebrenik, Chris Parnin
In proceedings of the ACM/IEEE Internationl Conference on Software Engineering – Software Engineering in Society (ICSE SEIS) | May 2019
FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services
Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan
International Conference on Software Engineering | May 2019
Today was a Good Day: The Daily Life of Software Developers
Andre N. Meyer, Earl T. Barr, Christian Bird, Thomas Zimmermann
IEEE Transactions on Software Engineering | April 2019
To appear.
The Effect of Work Environments on Productivity and Satisfaction of Software Engineers
Brittany Johnson, Thomas Zimmermann, Christian Bird
IEEE Transactions on Software Engineering | February 2019
To appear.
How Should Compilers Explain Problems to Developers?
Titus Barik, Denae Ford, Emerson Murphy-Hill, Chris Parnin
ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) | November 2018
Dazed: Measuring the Cognitive Load of Solving Technical Interview Problems At the Whiteboard
Mahnaz Behroozi, Alison Lui, Ian Moore, Denae Ford , Chris Parnin
In proceedings of the IEEE International Conference on Software Engineering – New Ideas and Emerging Results Track (ICSE NIER) | May 2018
“We Don’t Do That Here”: How Collaborative Editing with Mentors Improves Engagement in Social Q&A Communities
Denae Ford , Kristina Lustig, Jeremy Banks, Chris Parnin
In proceedings of the ACM Conference on Human Factors in Computing Systems (CHI) | April 2018
Data Scientists in Software Teams: State of the Art and Challenges
Miryung Kim, Tom Zimmermann, Robert DeLIne, Andrew Begel
IEEE Transactions on Software Engineering | September 2017
Appendix to Personas in Practice: Adapting Knowledge Worker Actions to Software Engineer
Denae Ford, Tom Zimmermann, Christian Bird, Nachi Nagappan
MSR-TR-2016-75 | October 2016
Published by Microsoft
Empirical analysis of user data in game software development
Kenneth Hullett, Nachi Nagappan, Eric Schuh, John Hopson
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement | November 2012
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
Mining Metrics to Predict Component Failures
Nachi Nagappan, Thomas Ball, Andreas Zeller
MSR-TR-2005-149 | November 2005
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Active Learning for ML Enhanced Database Systems
Lin Ma, Bailu Ding, Sudipto Das, Adith Swaminathan
SIGMOD 2020 | June 2020
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
Jiaming Shen, Iris Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han
The Web Conference 2020 (formerly WWW conference) | April 2020
Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
Emre Kiciman, Jorgen Thelin
1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
Data Scientists in Software Teams: State of the Art and Challenges
Miryung Kim, Tom Zimmermann, Robert DeLIne, Andrew Begel
IEEE Transactions on Software Engineering | September 2017
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
December 2016
Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media
Munmun De Choudhury, Sanket S. Sharma, Emre Kiciman
19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | February 2016
19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
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Conjunction of factors triggering waves of seasonal influenza
Ishanu Chattopadhyay, Emre Kiciman, Joshua W. Elliott, Jeffrey L. Shaman, Andrey Rzhetsky
eLife | February 2018, Vol 7: pp. e30756
Conjunction of Factors Triggering Waves of Seasonal Influenza
Ishanu Chattopadhyay, Emre Kiciman, Joshua Elliott, Jeffrey Shaman, Andrey Rzhetsky
BioRxiv | July 2017
Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence, ® Montreal, QU
Exploring Time-Dependent Concerns about Pregnancy and Childbirth from Search Logs
Adam Fourney, Ryen W. White, Eric Horvitz
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI ’15) | April 2015
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15)
ISBN: 978-1-4503-3145-6
Best of CHI honorable mention
Seeking and Sharing Health Information Online: Comparing Search Engines and Social Media
Munmun De Choudhury, Meredith Ringel Morris, Ryen W. White
Proceedings of CHI 2014 | April 2014
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Wildbook: Crowdsourcing, computer vision, and data science for conservation
Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Jason A. Holmberg, Jason Parham, Jonathan Crall, Sreejith Menon, Jon Van Oast, Emre Kiciman, Lucas Joppa
Bloomberg Data for Good Exchange | September 2017
Animal Population Estimation Using Flickr Images
Sreejith Menon, Tanya Berger-Wolf, Emre Kiciman, Lucas Joppa, Charles V. Stewart, Jason Parham, Jonathan Crall, Jason Holmberg, Jonathan Van Oast
In Proceedings of 2nd International Workshop on the Social Web for Environmental and Ecological Monitoring (SWEEM 2017) | June 2017
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Privacy Considerations for a Pervasive Eye Tracking World
Dan Liebling, Sören Preibusch
4th International Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction | September 2014
Publications by Type
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Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Ching-An Cheng, Allen Nie, Adith Swaminathan
NeurIPS 2024 | December 2024
NeurIPS Expo Demo
Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers
Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Bahar Sarrafzadeh, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi
Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U) | November 2024
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
Tobias Schnabel, Jennifer Neville
EMNLP | November 2024
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent Hecht, Jaime Teevan
ACL | August 2024
On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan
2024 Uncertainty in Artificial Intelligence | July 2024
TnT-LLM: Text Mining at Scale with Large Language Models
Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan
KDD | March 2024
Simple Data Sharing for Multi-Tasked Goal-Oriented Problems
Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
NeurIPS 2023 | October 2023
Stationary Algorithmic Balancing For Dynamic Email Re-Ranking Problem
Jiayi Liu, Jennifer Neville
2023 Knowledge Discovery and Data Mining | August 2023
Workplace Recommendation with Temporal Network Objectives
Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu
2023 Knowledge Discovery and Data Mining | August 2023
Hindsight Learning for MDPs with Exogenous Inputs
Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
2023 International Conference on Machine Learning | July 2023
Towards Modular Machine Learning Pipelines
Aditya Modi, Jivat Neet Kaur, Maggie Makar, Pavan Mallapragada, Amit Sharma, Emre Kiciman, Adith Swaminathan
2023 International Conference on Machine Learning | July 2023
Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs
Susheel Suresh, Mayank Shrivastava, Arko Mukherjee, Jennifer Neville, Pan Li
2023 The Web Conference | April 2023
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning
Bogdan Mazoure, Paul Mineiro, Pavithra Srinath, Reza Sharifi Sedeh, Doina Precup, Adith Swaminathan
2022 European Conference on Principles of Data Mining and Knowledge Discovery | September 2022
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
Ji Xin, Chenyan Xiong, Ashwin Srinivasan, Ankita Sharma, Damien Jose, Paul Bennett
ACL 2022 | May 2022
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
ICLR 2022 | April 2022
HINT: Integration Testing for AI-based Features with Humans in the Loop
Quanze Chen, Tobias Schnabel, Besmira Nushi, Saleema Amershi
International Conference on Intelligent User Interfaces | March 2022
Lightweight Compositional Embeddings for Incremental Streaming Recommendation
Mengyue Hang, Tobias Schnabel, Longqi Yang, Jennifer Neville
Machine Learning on Graphs, WSDM’22 | February 2022
Adversarial graph augmentation to improve graph contrastive learning
Susheel Suresh, Pan Li, Cong Hao
Advances in Neural Information Processing Systems | December 2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song
NeurIPS 2021 | December 2021
Heuristic-Guided Reinforcement Learning
Ching-An Cheng, Andrey Kolobov, Adith Swaminathan
NeurIPS 2021 | December 2021
Say `YES’ to Positivity: Detecting Toxic Language in Workplace Communications
Meghana Moorthy Bhat, Saghar Hosseini, Ahmed Awadallah, Paul Bennett, Weisheng Li
EMNLP 2021 | November 2021
Less is More: Pre-train a Strong Text Encoder for Dense Retrieval Using a Weak Decoder
Shuqi Lu, Di He, Chenyan Xiong, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tieyan Liu, Arnold Overwijk
EMNLP 2021 | November 2021
Local Factor Models for Large-Scale Inductive Recommendation
Longqi Yang, Tobias Schnabel, Paul Bennett, Susan Dumais
RecSys | September 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma
ACM SIGKDD Conference on Knowledge Discovery & Data Mining | August 2021
A collective learning framework to boost GNN expressiveness for node classification
Mengyue Hang, Jennifer Neville, Bruno Ribeiro
International Conference on Machine Learning | July 2021
Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text
Philippe Laban, Tobias Schnabel, Paul Bennett, Marti A. Hearst
ACL-IJCNLP 2021 | July 2021
Towards Decentralized Social Reinforcement Learning via Ego-Network Extrapolation
Mahak Goindani, Jennifer Neville
International Conference on Autonomous Agents and Multi Agent Systems | May 2021
Scraps: Enabling Mobile Capture, Contextualization, and Use of Document Resources
Amanda Swearngin, Shamsi Iqbal, Victor Poznanski, Mark Encarnación, Paul Bennett, Jaime Teevan
ACM CHI 2021 | May 2021
Honorable Mention
Contrastive Multi-document Question Generation
Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan
European Chapter of the Association for Computational Linguistics (EACL) | April 2021
DYMOND: DYnamic MOtif-NoDes Network Generative Model
Giselle Zeno, Timothy La Fond, Jennifer Neville
Proceedings of the Web Conference 2021 | April 2021
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization
Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao
AAAI 2021 | April 2021
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul Bennett, Junaid Ahmed, Arnold Overwijk
International Conference on Learning Representations (ICLR) | April 2021
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision
Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett
ACL-IJCNLP 2021 | December 2020
Leveraging Structured Metadata for Improving Question Answering on the Web
Xinya Du, Adam Fourney, Robert Sim, Paul Bennett, Claire Cardie, Ahmed Awadallah
AACL 2020 | December 2020
Text Classification Using Label Names Only: A Language Model Self-Training Approach
Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han
Empirical Methods in Natural Language Processing | October 2020
Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling
Zhenghao Liu, Chenyan Xiong, Zhuyun Dai, Si Sun, Maosong Sun, Zhiyuan Liu
Empirical Methods in Natural Language Processing (Findings, Short) | October 2020
Long Document Ranking with Query-Directed Sparse Transformer
Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee, Wei Wang
Empirical Methods in Natural Language Processing (Findings) | October 2020
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables
Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang
Neural Information Processing Systems | October 2020
Provably Good Batch Reinforcement Learning Without Great Exploration
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill
2020 Neural Information Processing Systems | October 2020
Feedback-Driven Semi-Supervised Synthesis of Program Transformations
Xiang Gao, Shraddha Barke, Arjun Radhakrishna, Gustavo Soares, Sumit Gulwani, Alan Leung, Nachi Nagappan, Ashish Tiwari
OOPSLA | October 2020
Debiasing Item-to-Item Recommendations With Small Annotated Datasets
Tobias Schnabel, Paul Bennett
RecSys | September 2020
“Who doesn’t like dinosaurs?” Finding and Eliciting Richer Preferences for Recommendation
Tobias Schnabel, Gonzalo Ramos, Saleema Amershi
14th ACM Conference on Recommender Systems | September 2020
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel, Saleema Amershi, Paul Bennett, Peter Bailey, Thorsten Joachims
Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | July 2020
An Eye Tracking Study of Web Search by People with and without Dyslexia
Srishti Palani, Adam Fourney, Shane Williams, Kevin Larson, Irina Spiridonova, Meredith Ringel Morris
SIGIR 2020 | July 2020
Recent Advances in Conversational Information Retrieval
Jianfeng Gao, Chenyan Xiong, Paul Bennett
SIGIR 2020 | July 2020
Tutorial Slides
Contextual Re-Ranking with Behavior Aware Transformers
Chenyan Xiong, Chen Qu, Yizhe Zhang, Corby Rosset, W. Bruce Croft, Paul Bennett
SIGIR 2020 | July 2020
CAsT-19: A Dataset for Conversational Information Seeking
Jeff Dalton, Chenyan Xiong, Vaibhav Kumar, Jamie Callan
SIGIR 2020 | July 2020
Knowledge Enhanced Personalized Search
Shuqi Lu, Zhicheng Dou, Chenyan Xiong, Xiaojie Wang, Ji-Rong Wen
SIGIR 2020 | July 2020
An Empirical Study of Software Exceptions in the Field using Search Logs
Foyzul Hassan, Chetan Bansal, Nachi Nagappan, Tom Zimmermann, Ahmed Awadallah
ESEM 2020 | July 2020
Learning Calibratable Policies using Programmatic Style-Consistency
Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew Hausknecht
2020 International Conference on Machine Learning | July 2020
Working Memory Graphs
Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew Hausknecht
2020 International Conference on Machine Learning | July 2020
A Dataset of Dockerfiles
Jordan Henkel, Shuvendu Lahiri, Christian Bird, Thomas Reps
ICSE 2020 | July 2020
Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020
Edgar Meij, Tara Safavi, Chenyan Xiong, Gianluca Demartini, Miriam Redi, Fatma Özcan
Automated Knowledge Base Construction | June 2020
Workshop Proceedings
Few-Shot Generative Conversational Query Rewriting
Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul Bennett, Jianfeng Gao, Zhiyuan Liu
SIGIR 2020 | June 2020
Best Short Paper Award
Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life
Jonathan Liono, Mohammad Saiedur Rahaman, Flora D Salim, Yongli Ren, Damiano Spina, Falk Scholer, Johanne R Trippas, Mark Sanderson, Ryen W. White, Paul Bennett
2020 International Conference on Multimedia Retrieval | June 2020
Active Learning for ML Enhanced Database Systems
Lin Ma, Bailu Ding, Sudipto Das, Adith Swaminathan
SIGMOD 2020 | June 2020
Fine-grained Fact Verification with Kernel Graph Attention Network
Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu
ACL 2020 | June 2020
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
Houyu Zhang, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu
ACL 2020 | June 2020
Analyzing and Learning from User Interactions for Search Clarification
Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul Bennett, Nick Craswell, Susan Dumais
Proceedings of the 43rd international ACM SIGIR conference on Research & development in information retrieval | May 2020
Transformer-XH: Multi-evidence Reasoning with Extra Hop Attention
Chen Zhao, Chenyan Xiong, Corby Rosset, Xia Song, Paul Bennett, Saurabh Tiwary
The Eighth International Conference on Learning Representations (ICLR 2020) | April 2020
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
Jiaming Shen, Iris Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han
The Web Conference 2020 (formerly WWW conference) | April 2020
Improving Learning Outcomes with Gaze Tracking and Automatic Question Generation
Rohail Syed, Kevyn Collins-Thompson, Paul Bennett, Mengqiu Tang, Shane Williams, Shamsi Iqbal, Wendy Tay
The Web Conference 2020 (formerly WWW conference) | April 2020
Selective Weak Supervision for Neural Information Retrieval
Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu
The Web Conference 2020 (formerly WWW conference) | April 2020
Complex Factoid Question Answering with a Free-Text Knowledge Graph
Chen Zhao, Chenyan Xiong, Xin Qian, Jordan Boyd-Graber
The Web Conference 2020 (formerly WWW conference) | April 2020
Generating Clarifying Questions for Information Retrieval
Hamed Zamani, Susan Dumais, Nick Craswell, Paul Bennett, Gord Lueck
The Web Conference 2020 (formerly WWW conference) | April 2020
Leading Conversational Search by Suggesting Useful Questions
Corby Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul Bennett
The Web Conference 2020 (formerly WWW conference) | April 2020
On How People Navigate Through Their Personal Web of Things
Dhivya Eswaran, Shamsi Iqbal, Adam Fourney, Shane Williams, Paul Bennett
CHI 2020 Workshop on Speculative Designs for Emergent Personal Data Trails | April 2020
Characterizing Search-Engine Traffic to Internet Research Agency Web Properties
Alexander Spangher, Gireeja Ranade, Besmira Nushi, Adam Fourney, Eric Horvitz
The Web Conference (TheWebConf ’20) | April 2020
Toward Activity Discovery in the Personal Web
Tara Safavi, Adam Fourney, Robert Sim, Marcin Juraszek, Shane Williams, Ned Friend, Danai Koutra, Paul Bennett
The 13th ACM International Conference on Web Search and Data Mining (WSDM) | February 2020
Latent Relation Language Models
Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig
AAAI | February 2020
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations
Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) | February 2020
Deep Generalized Method of Moments for Instrumental Variable Analysis
Tobias Schnabel, Andrew Bennett, Nathan Kallus
NeurIPS | December 2019
On Domain Transfer When Predicting Intent in Text
Petar Stojanov, Ahmed Awadallah, Paul Bennett, Saghar Hosseini
NeurIPS Workshop on Document Intelligence | December 2019
Open Domain Web Keyphrase Extraction Beyond Language Modeling
Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk
Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) | November 2019
VERSE: Bridging Screen Readers and Voice Assistants for Enhanced Eyes-Free Web Search
Alexandra Vtyurina, Adam Fourney, Meredith Ringel Morris, Leah Findlater, Ryen W. White
ASSETS 2019 | October 2019
Best Paper Nominee
Neural Document Expansion with User Feedback
Yue Yin, Chenyan Xiong, Cheng Luo, Zhiyuan Liu
ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR) | October 2019
Mercury: Empowering Programmers’ Mobile Work Practices with Microproductivity
Alex Williams, Harmanpreet Kaur, Shamsi Iqbal, Ryen W. White, Jaime Teevan, Adam Fourney
UIST 2019 | October 2019
Leveraging Change Intents for Characterizing and Identifying Large-Review-Effort Changes
Song Wang, Chetan Bansal, Nachi Nagappan, Adithya Abraham Philip
PROMISE 2019 | September 2019
WhoDo: Automating Reviewer Suggestions at Scale
Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Chetan Bansal, Christian Bird, Chandra Maddila, Sonu Mehta, B. Ashok
ESEC/FSE 2019 | August 2019
Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services
Chandra Maddila, Chetan Bansal, Nachi Nagappan
ESEC/FSE 2019 | August 2019
Generic Intent Representation in Web Search
Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul Bennett, Nick Craswell, Saurabh Tiwary
The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) | July 2019
Target-Guided Open-Domain Conversation
Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu
Annual Meeting of the Association for Computational Linguistics (ACL) | July 2019
A Social Media Study on the Effects of Psychiatric Medication Use
Koustuv Saha, Benjamin Sugar, John Torous, Bruno Abrahao, Emre Kiciman, Munmun De Choudhury
International AAAI Conference on Web and Social Media (ICWSM 2019) | June 2019
Outstanding Study Design Paper Award
Software Engineering for Machine Learning: A Case Study
Saleema Amershi, Andrew Begel, Christian Bird, Robert DeLIne, Harald Gall, Ece Kamar, Nachi Nagappan, Besmira Nushi, Tom Zimmermann
International Conference on Software Engineering (ICSE 2019) – Software Engineering in Practice track | May 2019
ICSE 2019 Best Paper Award
Studying Preferences and Concerns about Information Disclosure in Email Notifications
Yongsung Kim, Adam Fourney, Ece Kamar
The Web Conference (WWW ’19) | May 2019
Casual Microtasking: Embedding Microtasks in Facebook
Nathan Hahn, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
The Impact of Web Browser Reader Views on Reading Speed and User Experience
Qisheng Li, Meredith Ringel Morris, Adam Fourney, Kevin Larson, Katherina Reinecke
CHI 2019 | May 2019
People and AI See Things Different Implications of Mismatched Perception on HCI for AI Systems
Saleema Amershi, Ece Kamar, Emre Kiciman
Workshop on Human-Centered Machine Learning Perspectives at CHI 2019 | May 2019
How Remote Work Can Foster a More Inclusive Environment for Transgender Developers
Denae Ford, Reed Milewicz, Alexander Serebrenik
In proceedings of the ACM/IEEE ICSE 2nd International Workshop on Gender Equality in Software Engineering (GE) | May 2019
Beyond the Code Itself: How Programmers Really Look at Pull Requests
Denae Ford, Mahnaz Behroozi, Alexander Serebrenik, Chris Parnin
In proceedings of the ACM/IEEE Internationl Conference on Software Engineering – Software Engineering in Society (ICSE SEIS) | May 2019
Sketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence
Qian Yang, Justin Cranshaw, Saleema Amershi, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
An Exploration of Speech-Based Productivity Support in the Car
Nikolas Martelaro, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
Will You Accept an Imperfect AI? Exploring Designs for Adjusting End-user Expectations of AI Systems
Rafal Kocielnik, Saleema Amershi, Paul Bennett
CHI 2019 | May 2019
FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services
Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan
International Conference on Software Engineering | May 2019
Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory
Tobias Schnabel, Paul Bennett, Thorsten Joachims
The 12th ACM International Conference on Web Search and Data Mining (WSDM 2019) | March 2019
Understanding Context for Tasks and Activities
Jan Benetka, John Krumm, Paul Bennett
The Fourth ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019) | March 2019
Learning About Work Tasks to Inform Intelligent Assistant Design
Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Awadallah, Peter Bailey, Paul Bennett, Ryen W. White, Jonathan Liono, Yongli Ren, Flora D. Salim, Mark Sanderson
The Fourth ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2019) | March 2019
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation
Maggie Makar, Adith Swaminathan, Emre Kiciman
AAAI-19 | January 2019
How Should Compilers Explain Problems to Developers?
Titus Barik, Denae Ford, Emerson Murphy-Hill, Chris Parnin
ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) | November 2018
Selfies as Social Movements: Influences on Participation and Perceived Impact on Stereotypes
Fannie Liu, Denae Ford, Laura Dabbish, Chris Parnin
In proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW) | November 2018
Creating Better Action Plans for Writing Tasks via Vocabulary-Based Planning
Harmanpreet Kaur, Alex Williams, Anne Loomis Thompson, Walter Lasecki, Shamsi Iqbal, Jaime Teevan
Computer-Supported Cooperative Work (CSCW) | November 2018
Multitasking with Play Write, a Mobile Microproductivity Tool
Shamsi Iqbal, Jaime Teevan, Dan Liebling, Anne Loomis Thompson
UIST 2018 | October 2018
Representing and Recommending Shopping Baskets with Complementarity, Compatibility, and Loyalty
Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian McAuley
27th ACM International Conference on Information and Knoweldge Management | October 2018
Answering What If, Should I and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data
Emre Kiciman, Jorgen Thelin
1st Biennial Conference on Design of Experimental Search and Information Retrieval Systems (DESIRES) 2018 | August 2018
Assessing the Readability of Web Search Results for Searchers with Dyslexia
Adam Fourney, Meredith Ringel Morris, Abdullah Ali, Laura Vonessen
The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2018
Calendar-Aware Proactive Email Recommendation
Qian Zhao, Paul Bennett, Adam Fourney, Anne Loomis Thompson, Shane Williams, Adam D. Troy, Susan Dumais
Proceedings of the 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018) | July 2018
Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use
Emre Kiciman, Scott Counts, Melissa Gasser
In Proceedings of 12th International Conference on Web and Social Media (ICWSM-18) | June 2018
Deep Learning with Logged Bandit Feedback
Thorsten Joachims, Adith Swaminathan, Maarten de Rijke
2018 International Conference on Learning Representations | May 2018
Dazed: Measuring the Cognitive Load of Solving Technical Interview Problems At the Whiteboard
Mahnaz Behroozi, Alison Lui, Ian Moore, Denae Ford , Chris Parnin
In proceedings of the IEEE International Conference on Software Engineering – New Ideas and Emerging Results Track (ICSE NIER) | May 2018
“We Don’t Do That Here”: How Collaborative Editing with Mentors Improves Engagement in Social Q&A Communities
Denae Ford , Kristina Lustig, Jeremy Banks, Chris Parnin
In proceedings of the ACM Conference on Human Factors in Computing Systems (CHI) | April 2018
Understanding the Needs of Searchers with Dyslexia
Meredith Ringel Morris, Adam Fourney, Abdullah Ali, Laura Vonessen
2018 ACM Conference on Human Factors in Computing Systems (CHI) | April 2018
Effects of Individual Differences in Blocking Workplace Distractions
Gloria Mark, Mary Czerwinski, Shamsi Iqbal
2018 ACM Conference on Human Factors in Computing Systems (CHI) | April 2018
Supporting Workplace Detachment and Reattachment with Conversational Intelligence
Alex Williams, Harmanpreet Kaur, Gloria Mark, Anne Loomis Thompson, Shamsi Iqbal, Jaime Teevan
2018 ACM Conference on Human Factors in Computing Systems (CHI ’18) | April 2018
Exploring the Role of Conversational Cues in Guided Task Support with Virtual Assistants
Alexandra Vtyurina, Adam Fourney
2018 ACM Conference on Human Factors in Computing Systems (CHI) | April 2018
Characterizing Search in Productivity Software
Horatiu Bota, Adam Fourney, Susan Dumais, Tomasz L. Religa, Robert Rounthwaite
Proceedings of CHIIR 2018 | March 2018
Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration
Tobias Schnabel, Paul N. Bennett, Susan Dumais, Thorsten Joachims
Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM ’18) | February 2018
Off-Policy Evaluation For Slate Recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal, Miro Dudík, John Langford, Damien Jose, Imed Zitouni
2017 Neural Information Processing Systems | December 2017
Characterizing and Predicting Enterprise Email Reply Behavior
Liu Yang, Susan Dumais, Paul Bennett, Ahmed Awadallah
Proceedings of the 40th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017) | December 2017
Geographic and Temporal Trends in Fake News Consumption During the 2016 US Presidential Election
Adam Fourney, Miklos Z. Racz, Gireeja Ranade, Markus Mobius, Eric Horvitz
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management | November 2017
ISBN: 978-1-4503-4918-5
Self-Es: The Role of Emails-to-Self in Personal Information Management
Horatiu Bota, Paul N. Bennett, Ahmed Awadallah, Susan T. Dumais
Proceedings of the 2nd ACM Conference on Human Information Interaction and Retrieval (CHIIR ’17) | November 2017
Animal Population Estimation Using Flickr Images
Sreejith Menon, Tanya Berger-Wolf, Emre Kiciman, Lucas Joppa, Charles V. Stewart, Jason Parham, Jonathan Crall, Jason Holmberg, Jonathan Van Oast
In Proceedings of 2nd International Workshop on the Social Web for Environmental and Ecological Monitoring (SWEEM 2017) | June 2017
The Language of Social Support in Social Media and its Effect on Suicidal Ideation Risk
Munmun De Choudhury, Emre Kiciman
Proceedings of the International Conference on Web and Social Media (ICWSM-17) | May 2017
Best Paper Award
Managing Uncertainty in Time Expressions for Virtual Assistants
Xin Rong, Adam Fourney, Robin N. Brewer, Meredith Ringel Morris, Paul N. Bennett
Proceedings of the 35th Annual CHI Conference on Human Factors in Computing Systems (CHI ’17) | May 2017
Best Paper Honorable Mention
Web Search as a Linguistic Tool
Adam Fourney, Meredith Ringel Morris, Ryen W. White
Proceedings of WWW 2017 | April 2017
Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media
Alexandra Olteanu, Onur Varol, Emre Kiciman
Proceedings of The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing | February 2017
ISBN: 978-1-4503-4335-0/17/03
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims, Adith Swaminathan, Tobias Schnabel
2017 Web Search and Data Mining | February 2017
Best Paper Award
Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints
Paul N. Bennett, David M. Chickering, Christopher Meek, Xiaojin Zhu
Proceedings of the 10th ACM International Conference on Web Search and Data Mining (WSDM ’17) | February 2017
Unbiased Comparative Evaluation of Ranking Functions
Tobias Schnabel, Adith Swaminathan, Peter Frazier, Thorsten Joachims
ACM International Conference on the Theory of Information Retrieval | September 2016
Characterizing Cross-Domain Search Behavior
Rishabh Mehrotra, Paul N. Bennett, Susan Dumais, Jaime Teevan
Proceedings of the Second Workshop on Heterogeneous Information Access at SIGIR 2016 (HIA’16) | July 2016
Automatic Identification and Contextual Reformulation of Implicit System-Related Queries
Proceedings of the 39th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’16) | July 2016
Analyzing and Predicting Task Reminders
David Graus, Paul N. Bennett, Ryen W. White, Eric Horvitz
Proceedings of the 24th ACM Conference on User Modeling, Adaptation, and Personalization (UMAP ’16) | July 2016
Best Student Paper
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, Thorsten Joachims
2016 International Conference on Machine Learning | June 2016
Information Dissemination in Heterogeneous-Intent Networks
Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman, Onur Varol
Web Science | May 2016
Towards an Open-Domain Framework for Distilling the Outcomes of Personal Experiences from Social Media Timelines
Alexandra Olteanu, Onur Varol, Emre Kiciman
International Conference on Web and Social Media (ICWSM) | May 2016
Using Shortlists to Support Decision Making and Improve Recommender System Performance
Tobias Schnabel, Paul N. Bennett, Susan T. Dumais, Thorsten Joachims
Proceedings of the 25th International World Wide Web Conference (WWW ’16) | May 2016
Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media
Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar
CHI ’16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems | May 2016
Honorable Mention
Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media
Munmun De Choudhury, Sanket S. Sharma, Emre Kiciman
19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) | February 2016
19th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
Mining Tasks from the Web Anchor Text Graph: MSR Notebook Paper for the TREC 2015 Tasks Track
Paul N. Bennett, Ryen W. White
Proceedings of the 24th Text Retrieval Conference (TREC ’15) | January 2016
Building Effective Query Classifiers: A Case Study in Self-harm Intent Detection
Ashiqur R. KhudaBukhsh, Paul N. Bennett, Ryen W. White
Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia | October 2015
Implicit Preference Labels for Learning Highly Selective Personalized Rankers
Paul N. Bennett, Milad Shokouhi, Rich Caruana
Proceedings of the 1st ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2015) | September 2015
Persona-ization: Searching on Behalf of Others
Paul N. Bennett, Alexander Fishkov, Emre Kiciman
Proceedings of the SIGIR 2015 International Workshop on Social Personalisation & Search (SPS’15) | August 2015
International Workshop on Social Personalisation & Search (SPS 2015)
Modeling Website Topic Cohesion at Scale to Improve Webpage Classification
Dhivya Eswaran, Paul N. Bennett, Joseph J. Pfeiffer
(Poster-Paper) Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2015) | August 2015
Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships from Social Media
Emre Kiciman, Matthew Richardson
KDD ’15 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2015
Knowledge Discovery and Data Mining (KDD)
Crowdsourcing in the Field: A Case Study Using Local Crowds for Event Reporting
Elena Agapie, Jaime Teevan, Andrés Monroy-Hernández
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing (HCOMP-15) | August 2015
Best Paper Award
Events and Controversies: Influences of a Shocking News Event on Information Seeking
Danai Koutra, Paul N. Bennett, Eric Horvitz
Proceedings of the 24th Annual International World Wide Web Conference (WWW ’15) (This paper revises and extends work in TAIA Workshop at SIGIR 2014 and arXiv:1405.1486.) | May 2015
Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks
Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett
Proceedings of the 24th Annual International World Wide Web Conference (WWW ’15) | May 2015
Query Suggestion and Data Fusion in Contextual Disambiguation
Milad Shokouhi, Marc Sloan, Paul N. Bennett, Kevyn Collins-Thompson, Siranush Sarkizova
Proceedings of the 24th International World Wide Web Conference (WWW 2015) | May 2015
Slides at: http://www.slideshare.net/shokouhi1/query-suggestion-and-data-fusion-in-contextual-disambiguation
Exploring Time-Dependent Concerns about Pregnancy and Childbirth from Search Logs
Adam Fourney, Ryen W. White, Eric Horvitz
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI ’15) | April 2015
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15)
ISBN: 978-1-4503-3145-6
Best of CHI honorable mention
Break It Down: A Comparison of Macro- and Microtasks
Justin Cheng, Jaime Teevan, Shamsi Iqbal, Michael S. Bernstein
ACM Conference on Human Factors for Computing Systems (CHI) | April 2015
Towards Learning a Knowledge Base of Actions from Experiential Microblogs
AAAI Spring Symposium on Knowledge Representation and Reasoning | March 2015
AAAI Spring Symposium on Knowledge Representation and Reasoning
Overview of the Special Issue on Contextual Search and Recommendation
Paul N. Bennett, Kevyn Collins-Thompson, Diane Kelly, Ryen W. White, Yi Zhang
ACM Transactions on Information Systems | March 2015
Overview of the TREC 2014 Web Track
Kevyn Collins-Thompson, Craig Macdonald, Paul N. Bennett, Fernando Diaz, Ellen M. Voorhees
In Proceedings of the 23rd Text REtrieval Conference (TREC ’14) | February 2015
Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning
Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett
Proceedings of the 14th IEEE International Conference on Data Mining (ICDM 2014) | December 2014
Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference
Joseph John Pfeiffer, III, Jennifer Neville, Paul N. Bennett
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (CIKM ’14) | November 2014
Privacy Considerations for a Pervasive Eye Tracking World
Dan Liebling, Sören Preibusch
4th International Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction | September 2014
Gaze and Mouse Coordination in Everyday Work
Dan Liebling, Susan Dumais
4th International Conference on Pervasive Eye Tracking and Mobile Eye-Based Interaction | September 2014
Influences of a Shocking News Event on Web Browsing
Danai Koutra, Paul N. Bennett, Eric Horvitz
Proceedings of the SIGIR 2014 Workshop on Temporal, Social and Spatially-aware Information Access (TAIA’14) (This paper also appers as arXiv:1405.1486 and was later revised and extended in WWW 2015 paper of similar name.) | July 2014
Discussion Graphs: Putting Social Media Analysis in Context
Emre Kiciman, Scott Counts, Michael Gamon, Munmun De Choudhury, Bo Thiesson
Intl. Conf. on Weblogs and Social Media (ICWSM-14) | June 2014
Selfsourcing Personal Tasks
Dan Liebling, Jaime Teevan, Walter S. Lasecki
Proceedings of CHI 2014 | April 2014
Seeking and Sharing Health Information Online: Comparing Search Engines and Social Media
Munmun De Choudhury, Meredith Ringel Morris, Ryen W. White
Proceedings of CHI 2014 | April 2014
Entity Linking at the Tail: Sparse Signals, Unknown Entities and Phrase Models
Yuzhe Jin, Emre Kiciman, Kuansan Wang, Ricky Loynd
WSDM ’14 Proceedings of the 7th ACM international conference on Web search and data mining | February 2014
TREC 2013 Web Track Overview
Kevyn Collins-Thompson, Paul N. Bennett, Fernando Diaz, Charles L. A. Clarke, Ellen M. Vorhees
Proceedings of the 22nd Text REtrieval Conference (TREC 2013) | February 2014
To Search or to Ask: The Routing of Information Needs Between Traditional Search Engines and Social Networks
Anne Oeldorf-Hirsch, Brent Hecht, Meredith Ringel Morris, Jaime Teevan, Darren Gergle
Proceedings of CSCW 2014 | February 2014
Using Physical Signaling to Support Collaborative Mobile Search
Jaime Teevan, Meredith Ringel Morris, Shiri Azenkot
Extended Abstracts of CSCW 2014 | February 2014
Personalization via Probabilistic Adaptation
David Sontag, Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. White, Susan Dumais, Bodo von Billerbeck
NIPS 2013 Workshop on Personalization (An extended abstract of work that first appeared in WSDM 2012) | December 2013
Fighting Search Engine Amnesia: Reranking Repeated Results
Milad Shokouhi, Ryen W. White, Paul N. Bennett, Filip Radlinski
Proceedings of the 36th Annual ACM SIGIR Conference (SIGIR 2013) | July 2013
Towards Supporting Search over Trending Events with Social Media
Sanjay Kairam, Meredith Ringel Morris, Jaime Teevan, Dan Liebling, Susan Dumais
Proceedings of ICWSM 2013 | July 2013
Best Paper Honorable Mention
A Crowd-Powered Socially Embedded Search Engine
Jin-Woo Jeong, Meredith Ringel Morris, Jaime Teevan, Dan Liebling
Proceedings of ICWSM 2013 | July 2013
Toward Whole-Session Relevance: Exploring Intrinsic Diversity in Web Search
Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson
Proceedings of the 36th Annual ACM SIGIR Conference (SIGIR 2013) | July 2013
Best Student Paper
Combining Active Sampling with Parameter Estimation and Prediction in Single Networks
Joel J. Pfeiffer, Jennifer Neville, Paul N. Bennett
Proceedings of the ICML 2013 Workshop on Structured Learning: Inferring Graphs from Structured and Unstructured Inputs (SLG 2013) | June 2013
Proceedings of the ICML 2013 Workshop on Structured Learning: Inferring Graphs from Structured and Unstructured Inputs
Designing Human-Readable User Profiles for Search Evaluation
Carsten Eickhoff, Kevyn Collins-Thompson, Paul N. Bennett, Susan Dumais
Short-paper in Proceedings of the 35th ACM European Conference on Information Retrieval (ECIR ’13) | March 2013
Personalizing Atypical Web Search Sessions
Carsten Eickhoff, Kevyn Collins-Thompson, Paul N. Bennett, Susan Dumais
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM ’13) | February 2013
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM '13)
Predicting Content Change on the Web
Kira Radinsky, Paul N. Bennett
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM ’13) | February 2013
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM '13)
Pairwise Ranking Aggregation in a Crowdsourced Setting
Xi Chen, Paul N. Bennett, Kevyn Collins-Thompson, Eric Horvitz
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM ’13) | February 2013
Proceedings of the 6th ACM International Conference on Web Search and Data Mining (WSDM '13)
Kinected Browser: Depth Camera Interaction for the Web
Dan Liebling, Meredith Ringel Morris
Proc. 2012 ACM Conference on Interactive Tabletops and Surfaces | November 2012
Proc. 2012 ACM Conference on Interactive Tabletops and Surfaces
Empirical analysis of user data in game software development
Kenneth Hullett, Nachi Nagappan, Eric Schuh, John Hopson
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement | November 2012
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
Displaying Mobile Feedback During a Presentation
Jaime Teevan, Dan Liebling, Ann Paradiso, Carlos Garcia Jurado Suarez, Curtis von Veh, Darren Gehring
Proc. MobileHCI 2012 | September 2012
Anticipatory Search: Using Context to Initiate Search
Dan Liebling, Paul Bennett, Ryen W. White
Proc. SIGIR 2012 | August 2012
Active Query Selection for Learning Rankers
Mustafa Bilgic, Paul Bennett
Poster-Paper in Proceedings of the 35th Annual ACM SIGIR Conference (SIGIR 2012). | August 2012
Modeling the Impact of Short- and Long-Term Behavior on Search Personalization
Paul Bennett, Ryen W. White, Wei Chu, Susan Dumais, Peter Bailey, Fedor Borisyuk, Xiaoyuan Cui
Proceedings of the 35th Annual ACM SIGIR Conference (SIGIR 2012) | August 2012
Search, Interrupted: Understanding and Predicting Search Task Continuation
Eugene Agichtein, Ryen W. White, Susan Dumais, Paul Bennett
Proceedings of the 35th Annual ACM SIGIR Conference (SIGIR 2012) | August 2012
Anticipatory Search: Using Context to Initiate Search
Dan Liebling, Ryen W. White, Paul Bennett
Proceedings of the 35th Annual ACM SIGIR Conference (SIGIR 2012) | August 2012
(to appear)
Robust Ranking Models via Risk-Sensitive Optimization
Lidan Wang, Paul Bennett, Kevyn Collins-Thompson
Proceedings of the 35th Annual ACM SIGIR Conference (SIGIR 2012) | August 2012
Best Paper Runner-Up
Active Sampling of Networks
Joel J. Pfeiffer, Jennifer Neville, Paul Bennett
Proceedings of the ICML 2012 Workshop on Mining and Learning with Graphs | July 2012
SearchBuddies: Bringing Search Engines into the Conversation
Brent Hecht, Jaime Teevan, Meredith Ringel Morris, Dan Liebling
Proc. ICWSM 2012 | June 2012
Direct Answers for Search Queries in the Long Tail
Michael S. Bernstein, Jaime Teevan, Susan Dumais, Dan Liebling, Eric Horvitz
Proc. CHI 2012 | May 2012
Best Paper, Honorable Mention
Trajectory-Aware Mobile Search
John Krumm, Jaime Teevan, Amy Karlson, A.J. Brush
CHI 2012 | May 2012
Probabilistic Models for Personalizing Web Search
David Sontag, Kevyn Collins-Thompson, Paul Bennett, Ryen W. White, Susan Dumais, Bodo von Billerbeck
WSDM 2012: Fifth International Conference on Web Search and Data Miniing | February 2012
Characterizing Web Content, User Interests, and Search Behavior by Reading Level and Topic
Jinyoung Kim, Kevyn Collins-Thompson, Paul Bennett, Susan Dumais
WSDM 2012: Proceedings of the 5th ACM International Conference on Web Search and Data Mining | February 2012
WSDM 2012: Proceedings of the 5th ACM International Conference on Web Search and Data Mining
Personalizing Web Search Results by Reading Level
Kevyn Collins-Thompson, Paul Bennett, Ryen W. White, Sebastian de la Chica, David Sontag
Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM 2011) | October 2011
Inferring and Using Location Metadata to Personalize Web Search
Paul Bennett, Filip Radlinski, Ryen W. White, Emine Yilmaz
Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR) | July 2011
Modeling and Analysis of Cross-Session Search Tasks
Alexander Kotov, Paul Bennett, Ryen W. White, Susan Dumais, Jaime Teevan
Proceedings of SIGIR 2011 | July 2011
The Effects of Choice in Routing Relevance Judgments
Edith Law, Paul Bennett, Eric Horvitz
Proceedings of the 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011) | July 2011
Effects of Community Size and Contact Rate in Synchronous Social Q&A
Ryen W. White, Matthew Richardson, Matthew Richardson, Yandong Liu
Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2011) | May 2011
Best Paper
Fractional Similarity: Cross-lingual Feature Selection for Search
Jagadeesh Jagarlamudi, Paul Bennett
Proceedings of the 33rd Annual European Conference on Information Retrieval (ECIR 2011) | April 2011
Proceedings of the 33rd Annual European Conference on Information Retrieval (ECIR 2011)
Understanding and Predicting Personal Navigation
Jaime Teevan, Dan Liebling, Gayathri Ravichandran Geetha
Proc. WSDM 2011 | February 2011
Detecting Duplicate Web Documents using Clickthrough Data
Filip Radlinski, Paul Bennett, Emine Yilmaz
ACM International Conference on Web Search and Data Mining (WSDM) | February 2011
Predicting Short-term Interests Using Activity-Based Search Contexts
Ryen W. White, Paul Bennett, Susan Dumais
Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM ’10) | October 2010
Online Stratified Sampling: Evaluating Classifiers at Web-Scale
Paul Bennett, Vitor Carvalho
Short-Paper in Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM ’10) | October 2010
Short-Paper in Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM '10)
Characterizing Microblogs with Topic Models
Daniel Ramage, Susan Dumais, Dan Liebling
Proc. ICWSM 2010 | May 2010
Classification-enhanced Ranking
Paul Bennett, Krysta M. Svore, Susan Dumais, Krysta M. Svore
Proceedings of World Wide Web | April 2010
A Longitudinal Study of How Highlighting Web Content Change Affects People’s Web Interactions
Jaime Teevan, Susan Dumais, Dan Liebling
Proc. 2010 ACM Conf. on Human Factors in Computing Systems (CHI 2010) | April 2010
Predicting Query Performance via Classification
Kevyn Collins-Thompson, Paul Bennett
Proceedings of the 32nd Annual European Conference on Information Retrieval (ECIR 2010) | March 2010
Proceedings of the 32nd Annual European Conference on Information Retrieval (ECIR 2010)
Cars, Calls and Cognition: Investigating Driving and Divided Attention
Shamsi Iqbal, Y. C. Ju, Eric Horvitz
ACM Conference on Human Factors in Computing Systems (CHI) | January 2010
What Do People Ask Their Social Networks, and Why? A Survey Study of Status Message Q&A Behavior
Meredith Ringel Morris, Jaime Teevan, Katrina Panovich
Proceedings of CHI 2010 | January 2010
Individual Differences In Gaze Patterns For Web Search
Susan Dumais, Georg Buscher, Ed Cutrell
Proceeding of the third symposium on Information Interaction in Context | January 2010
Proceeding of the third symposium on Information Interaction in Context
ISBN: 978-1-4503-0247-0
The Good, the Bad, and the Random: An Eye-Tracking Study of Ad Quality in Web Search
Georg Buscher, Susan Dumais, Ed Cutrell
Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval | January 2010
ISBN: 978-1-4503-0153-4
Redundancy, Diversity, and Interdependent Document Relevance, a summary of the SIGIR 2009 workshop
Filip Radlinski, Paul Bennett, Ben Carterette
SIGIR Forum | December 2009
Discovery Is Never by Chance: Designing for (Un)Serendipity
Paul André, m.c. schraefel, Jaime Teevan, Susan Dumais
Proc. Creativity & Cognition 2009 | October 2009
Changing How People View Changes on the Web
Jaime Teevan, Susan Dumais, Dan Liebling, Richard Hughes
Proceedings UIST ’09, Victoria, BC, Canada | October 2009
Refined Experts: Improving Classification in Large Taxonomies
Paul Bennett, Nam Nguyen
Proceedings of the 32nd Annual ACM SIGIR Conference | July 2009
Estimating Query Performance using Class Predictions
Kevyn Collins-Thompson, Paul Bennett
Poster-Paper in Proceedings of the 32nd Annual ACM SIGIR Conference (SIGIR 2009) | January 2009
Poster-Paper in Proceedings of the 32nd Annual ACM SIGIR Conference (SIGIR 2009)
Picture This: Preferences for Image Search
Paul Bennett, Max Chickering, Anton Mityagin
Demo-paper in the Human Computation 2009 Workshop at KDD ’09 | January 2009
Learning Consensus Opinion: Mining Data from a Labeling Game
Paul Bennett, Max Chickering, Anton Mityagin
Proceedings of the 18th Annual International World Wide Web Conference (WWW ’09) | January 2009
Proceedings of the 18th Annual International World Wide Web Conference (WWW '09)
Understanding Groups’ Properties as a Means of Improving Collaborative Search Systems
Meredith Ringel Morris, Jaime Teevan
JCDL 2008 Workshop on Collaborative Information Retrieval | June 2008
Evaluation Measures for Preference Judgments
Ben Carterette, Paul Bennett
Poster-Paper in Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval | January 2008
Poster-Paper in Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Here or There: Preference Judgments for Relevance
Ben Carterette, Paul Bennett, Max Chickering, Susan Dumais
Proceedings of ECIR 2008 | January 2008
Proceedings of ECIR 2008
ECIR 2018 Test of Time Honorable Mention
Neighborhood-Based Local Sensitivity
Paul N. Bennett
Proceedings of ECML 2007 | September 2007
Proceedings of ECML 2007
Dual Strategy Active Learning
Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett
Proceedings of ECML 2007 | September 2007
Combining Probability-Based Rankers for Action-Item Detection
Paul N. Bennett, Jaime Carbonell
Proceedings of HLT-NAACL 2007 | April 2007
Proceedings of HLT-NAACL 2007
Probabilistic Combination of Text Classifiers Using Reliability Indicators: Models and Results
Paul N. Bennett, Susan Dumais, Eric Horvitz
Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2002) (An extended and revised version of this work appears in Information Retrieval, 2005.) | August 2002
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Classified Displays of Web Search Results
Susan Dumais, Ed Cutrell, Hao Chen
Advances in Classification Research Online Invited presentation at ASIS&T SIG/CR Classification Research Workshop | November 2000, Vol 11
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville
ArXiv | August 2024, Vol abs/2408.15549
Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media
Zhuoran Lu, Sheshera Mysore, Tara Safavi, Jennifer Neville, Longqi Yang, Mengting Wan
ArXiv | May 2024, Vol abs/2405.04656
Interactive Robot Learning from Verbal Correction
Huihan Liu, Alice Chen, Yuke Zhu, Adith Swaminathan, Andrey Kolobov, Ching-An Cheng
CoRL 2023 Workshop on Language and Robot Learning (LangRob) | November 2023
Imagining future digital assistants at work: A study of task management needs
Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman, Jonathan Liono, Johanne R. Trippas, Damiano Spina, Peter Bailey, Nicholas J. Belkin, Paul Bennett, Yongli Ren, Mark Sanderson, Falk Scholer, Ryen W. White, Flora D. Salim
International Journal of Human-Computer Studies | December 2022, Vol 168
SummaC: Re-visiting NLI-based Models for Inconsistency Detection in Summarization
Philippe Laban, Tobias Schnabel, Paul Bennett, Marti A. Hearst
Transactions of the Association for Computational Linguistics | February 2022, Vol 10: pp. 163-177
Recommendations as Treatments
Thorsten Joachims, Ben London, Yi Su, Adith Swaminathan, Lequn Wang
AI Magazine | November 2021, Vol 42(3): pp. 19-30
The SPACE of Developer Productivity: There’s more to it than you think
Nicole Forsgren, Margaret-Anne Storey, Chandra Maddila, Tom Zimmermann, Brian Houck, Jenna Butler
ACM Queue | February 2021, Vol 19(1): pp. 20-48
Large-Scale Intent Analysis for Identifying Large-Review-Effort Code Changes
Song Wang, Chetan Bansal, Nachi Nagappan
Information and Software Technology | February 2021, Vol 130
A Report on the First Workshop on Document Intelligence (DI) at NeurIPS 2019
Hamid Motahari, Nigel Duffy, Paul Bennett, Tania Bedrax-Weiss
SigKDD Explorations | December 2020, Vol 22(2)
Interrupted by my car? Implications of interruption and interleaving research for automated vehicles.
Christian P.Janssen, Shamsi Iqbal, Andrew L. Kun, Stella F. Donker
International Journal of Human-Computer Studies | October 2019, Vol 130: pp. 221-233
Towards a Theory of Software Developer Job Satisfaction and Perceived Productivity
Margaret-Anne Storey, Tom Zimmermann, Christian Bird, Jacek Czerwonka, Brendan Murphy, Eirini Kalliamvakou
IEEE Transactions on Software Engineering | September 2019
Ten simple rules for helping newcomers become contributors to open projects
Dan Sholler, Igor Steinmacher, Denae Ford, Mara Averick, Mike Hoye, Greg Wilson
PLoS Computational Biology | September 2019, Vol 15
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
Frontiers in Big Data | July 2019, Vol 2
Today was a Good Day: The Daily Life of Software Developers
Andre N. Meyer, Earl T. Barr, Christian Bird, Thomas Zimmermann
IEEE Transactions on Software Engineering | April 2019
To appear.
IRJ Special Issue on Knowledge Graphs and Semantics in Text Analysis and Retrieval
Laura Dietz, Chenyan Xiong, Jeff Dalton, Edgar Meij, (as guest editors)
Information Retrieval | March 2019, Vol 22
The Effect of Work Environments on Productivity and Satisfaction of Software Engineers
Brittany Johnson, Thomas Zimmermann, Christian Bird
IEEE Transactions on Software Engineering | February 2019
To appear.
Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health
Munmun De Choudhury, Emre Kiciman
AI Magazine | September 2018, Vol 39(3)
Conjunction of factors triggering waves of seasonal influenza
Ishanu Chattopadhyay, Emre Kiciman, Joshua W. Elliott, Jeffrey L. Shaman, Andrey Rzhetsky
eLife | February 2018, Vol 7: pp. e30756
Wildbook: Crowdsourcing, computer vision, and data science for conservation
Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Jason A. Holmberg, Jason Parham, Jonathan Crall, Sreejith Menon, Jon Van Oast, Emre Kiciman, Lucas Joppa
Bloomberg Data for Good Exchange | September 2017
Data Scientists in Software Teams: State of the Art and Challenges
Miryung Kim, Tom Zimmermann, Robert DeLIne, Andrew Begel
IEEE Transactions on Software Engineering | September 2017
Conjunction of Factors Triggering Waves of Seasonal Influenza
Ishanu Chattopadhyay, Emre Kiciman, Joshua Elliott, Jeffrey Shaman, Andrey Rzhetsky
BioRxiv | July 2017
Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence, ® Montreal, QU
Online and Social Media Data As an Imperfect Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
PlosONE | January 2016, Vol 11
Understanding Intrinsic Diversity in Web Search: Improving Whole-Session Relevance
Karthik Raman, Paul N. Bennett, Kevyn Collins-Thompson
ACM Transactions on Information Systems (TOIS) | October 2014, Vol 32
Supporting Interpersonal Interaction during Collaborative Mobile Search
Jaime Teevan, Meredith Ringel Morris
IEEE Computer | March 2014, Vol 47(3): pp. 54-57
A report on the Human Computation Workshop (HComp 2009)
Panos G. Ipeirotis, Ramen Chandrasekar, Paul Bennett, Edith Law, Max Chickering, Anton Mityagin, Foster Provost, Luis von Ahn
KDD Explorations | December 2009, Vol 11: pp. 80-83
Exploring Personal Information
Edward Cutrell, Susan Dumais, Ed Cutrell
Communications of the ACM (Special Issue: Supporting Exploratory Search) | January 2006
The Combination of Text Classifiers Using Reliability Indicators
Paul N. Bennett, Susan Dumais, Eric Horvitz
Informtion Retrieval (This paper revises and extends work originally presented in [Bennett, Dumais, & Horvitz; SIGIR 2002].) | March 2005, Vol 8: pp. 67-100
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The Use of Generative Search Engines for Knowledge Work and Complex Tasks
Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang
March 2024
S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs
Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi
September 2023
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories
Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett
February 2023
arXiv:2204.06644
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals
Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao
April 2022
arXiv:2204.06644
Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder
Shuqi Lu, Chenyan Xiong, Di He, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tieyan Liu, Arnold Overwijk
May 2021
Knowledge-Aware Language Model Pretraining
Corby Rosset, Chenyan Xiong, Minh Phan, Xia Song, Paul Bennett, Saurabh Tiwary
February 2021
arXiv:2007.00655
Robust Neural Networks for Causal Invariant Features Extraction
Shuxi Zeng, Pengchuan Zhang, Denis Charles, Eren Manavoglu, Emre Kiciman
December 2019
NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
Causal Transfer Random Forest: Leveraging Observational and Randomization Studies
Shuxi Zeng, Emre Kiciman, Denis Charles, Joel Pfeiffer, Murat Ali Bayir
December 2019
NeurIPS 2019 Workshop, “Do the right thing”: machine learning and causal inference for improved decision making
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Directions in Software Development and Maintenance
Ted J. Biggerstaff
MSR-TR-93-16 | September 1993
Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Longqi Yang
MSR-TR-2023-32 | September 2023
Published by Microsoft
This article is distributed under Creative Commons Attribution- NonCommercial- NoDerivatives License 4.0 (CC BY-NC-ND). https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.
Federated Graph Representation Learning using Self-Supervision
Susheel Suresh, Danny Godbout, Arko Mukherjee, Mayank Shrivastava, Jennifer Neville, Pan Li
2210.15120 | October 2022
Published by arXiv
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett
MSR-TR-2020-49 | November 2020
Published by Microsoft
The participation report of our top non-manual entry in TREC COVID Round 2.
Survey on Onboarding Software Engineers During a Pandemic
Paige Rodeghero, Thomas Zimmermann, Denae Ford
MSR-TR-2020-36 | October 2020
Published by Microsoft
Appendix to Personas in Practice: Adapting Knowledge Worker Actions to Software Engineer
Denae Ford, Tom Zimmermann, Christian Bird, Nachi Nagappan
MSR-TR-2016-75 | October 2016
Published by Microsoft
Online And Social Media Data As A Flawed Continuous Panel Survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kiciman, David Rothschild
MSR-TR-2014-159 | May 2014
Effect of Persuasion on Information Diffusion in Social Networks
Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman
MSR-TR-2014-69 | May 2014
Mining Metrics to Predict Component Failures
Nachi Nagappan, Thomas Ball, Andreas Zeller
MSR-TR-2005-149 | November 2005
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Neural Approaches to Conversational Information Retrieval
Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell
Published by Springer | March 2023, Vol 44
ISBN: 978-3-031-23079-0
The Information Retrieval Series.
Special Issue of ACM TOIS on Contextual Search and Recommendation
Paul N. Bennett, Kevyn Collins-Thompson, Diane Kelly, Ryen White, Yi Zhang, (guest eds)
Published by ACM | March 2015, Vol 33
Collaborative Web Search: Who, What, Where, When, and Why?
Meredith Ringel Morris, Jaime Teevan
Published by Morgan & Claypool | January 2010
ISBN: 1608451216
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Universal Search and Recommendation
Paul Bennett
October 2021
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
December 2016
Viewing Personal Data Over Time
Sonja Knoll, Aaron Hoff, Danyel Fisher, Susan Dumais, Ed Cutrell
April 2009
CHI 2009 Workshop on Interacting with Temporal Data