{"id":597364,"date":"2019-07-17T14:02:17","date_gmt":"2019-07-17T21:02:17","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=597364"},"modified":"2025-08-06T11:56:24","modified_gmt":"2025-08-06T18:56:24","slug":"microsoft-sigir-2019","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/microsoft-sigir-2019\/","title":{"rendered":"Microsoft @ SIGIR 2019"},"content":{"rendered":"\n\n

Venue:<\/strong> Cit\u00e9 des Sciences et de l’industrie (opens in new tab)<\/span><\/a><\/p>\n

Website:<\/strong> SIGIR 2019 (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n

Microsoft is excited to be a Gold sponsor of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (opens in new tab)<\/span><\/a>.<\/p>\n

We will have over 16 Microsoft attendees present at the conference. Stop by our booth to chat with our experts and find out about career opportunities (opens in new tab)<\/span><\/a>\u202fwith Microsoft.<\/p>\n

Demo Co-Chair<\/h3>\n

Tie-Yan Liu<\/a><\/p>\n

Doctorial Consortium Co-Chair<\/h3>\n

Gabriella Kazai<\/p>\n

Microsoft Attendees<\/h3>\n

Ahmed Awadalla
\nAndrey Kolobov<\/a>
\nAsia J. Biega<\/a>
\nBo Han
\nChris Quirk<\/a>
\nCorbin Rosset
\nDevin Gunson
\nGabriella Kazai
\nHongfei Zhang
\nKyle Williams<\/a>
\nMona Soliman H
\nOmar Alonso
\nRyen White<\/a>
\nSaghar Hosseinisi
\nWei Wu<\/a>Opens in a new tab<\/span><\/p>\n

Microsoft session schedule<\/h2>\n

Sunday, July 21, 2019<\/h3>\n

9:00 AM\u20135:00 PM
\nBuilding Economic Models and Measures of Search<\/strong>
\nLeif Azzopardi, Alistair Moffat, Paul Thomas<\/a><\/strong>, Guido Zuccon<\/p>\n

9:00 AM\u201312:30 PM
\nDeep Chit-Chat: Deep Learning for Chatbots<\/strong>
\nWei Wu<\/a><\/strong>, Rui Yan<\/p>\n

1:30 PM\u20135:00 PM
\nFairness and Discrimination in Retrieval and Recommendation<\/strong>
\nMichael D. Ekstrand, Fernando Diaz<\/a><\/strong>, Robin Burke<\/p>\n

Monday, July 22, 2019<\/h3>\n

10:20 AM\u201311:20 AM and 3:10 PM\u20134:40 PM | Salle A
\nFrom Text to Sound: a Preliminary Study on Retrieving Sound Effects to Radio Stories<\/strong>
\nSongwei Ge, Curtis Xuan, Ruihua Song<\/a><\/strong>, Chao Zou<\/strong>, Wei Liu<\/strong>, Jin Zhou<\/p>\n

Embedding Edge-attributed Relational Hierarchies<\/strong>
\nMuhao Chen, Chris Quirk<\/a><\/strong><\/p>\n

10:20 AM\u201311:20 AM and 3:10 PM\u20134:40 PM | Salle C
\nAn Axiomatic Approach to Regularizing Neural Ranking Models<\/strong>
\nCorby Rosset<\/strong>, Bhaskar Mitra<\/a>, Chenyan Xiong<\/a>, Nick Craswell<\/a>, Xia Song<\/strong>, Saurabh Tiwary<\/strong><\/p>\n

11:20 AM\u201312:20 PM | Auditorium
\nGeneric Intent Representation in Web Search<\/strong>
\nHongfei Zhang<\/strong>, Xia Song<\/strong>, Chenyan Xiong<\/a>, Corby Rosset<\/strong>, Paul Bennett<\/a>, Nick Craswell<\/a>, Saurabh Tiwary<\/strong><\/p>\n

4:40 PM\u20136:00 PM | Auditorium
\nA Neural Influence Diffusion Model for Social Recommendation<\/strong>
\nLe Wu, Peijie Sun, Richang Hong, Yanjie Fu, Xiting Wang<\/a>, Meng Wang<\/p>\n

Tuesday, July 23, 2019<\/h3>\n

10:00 AM\u201311:00 AM and 3:10 PM\u20134:40 PM | Salle A
\nSocial Knowledge Graph Explorer<\/strong>
\nOmar Alonso<\/strong>, Vasilis Kandylas<\/strong>, Serge-Eric Tremblay<\/strong><\/p>\n

cwl_eval: An Evaluation Tool for Information Retrieval<\/strong>
\nLeif Azzopardi, Paul Thomas<\/a>, Alistair Moffat<\/p>\n

10:00 AM\u201311:00 AM and 3:10 PM\u20134:40 PM | Salle B
\nThe Emotion Profile of Web Search<\/strong>
\nGabriella Kazai<\/strong>, Paul Thomas<\/a>, Nick Craswell<\/a><\/p>\n

10:00 AM\u201311:00 AM and 3:10 PM\u20134:40 PM | Salle C
\nNRPA: Neural Recommendation with Personalized Attention<\/strong>
\nHongtao Liu, Fangzhao Wu<\/a>, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie<\/a><\/p>\n

Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems<\/strong>
\nWayne Xin Zhao, Wenhui Zhang, Yulan He, Xing Xie<\/a>, Ji-Rong Wen<\/p>\n

10:00 AM\u201311:00 AM and 3:10 PM\u20134:40 PM | Salle D
\nAutomatic Task Completion Flows from Web APIs<\/strong>
\nKyle Williams<\/a>, Seyyed Hadi Hashemi, Imed Zitouni<\/p>\n

11:00 AM\u201312:20 PM | Louis Armand 1
\nTask Completion Detection<\/strong>
\nRyen White<\/a>, Ahmed Hassan Awadallah<\/a>, Robert Sim<\/a><\/p>\n

1:30 PM\u20133:10 PM | Louis Armand 1
\nOptimal Freshness Crawl Under Politeness Constraints<\/strong>
\nAndrey Kolobov<\/a>, Yuval Peres, Eyal Lubetzky, Eric Horvitz<\/a><\/p>\n

4:40 PM\u20136:00 PM | Auditorium
\nContext-Aware Intent Identification in Email Conversations<\/strong>
\nWei Wang<\/a>, Saghar Hosseini<\/a>, Ahmed Hassan Awadallah<\/a>, Paul Bennett<\/a>, Chris Quirk<\/a><\/p>\n

Thursday, July 25, 2019<\/h3>\n

9:00 AM\u20135:00 PM
\nWorkshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR)<\/strong>
\nCo-organizer: Alexandra Olteanu<\/a><\/p>\n

ECOM\u201919: The SIGIR 2019 Workshop on eCommerce<\/strong>
\nAccepted Paper: Unsupervised Construction of a Product Knowledge Graph
\nOmar Alonso, Vasileios Kandylas, Rukmini IyerOpens in a new tab<\/span><\/p>\n

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\n\t\t\t\t\t\t\tResearcher – AI<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Redmond, Washington<\/p>

We seek applicants from all areas of machine learning, artificial intelligence, and related fields with a passion and demonstrated ability for independent research, including a strong publication record at top international research venues…<\/p>

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\n\t\t\t\t\t\t\tSenior Data & Applied Scientist<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Bellevue, Washington<\/p>

We are hiring extremely talented, highly motivated and productive applied scientist with expertise in information retrieval, deep learning, machine learning, natural language processing, data mining and large scale distributed computation…<\/p>

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\n\t\t\t\t\t\t\tPost Doc Researcher – AI<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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<\/div>

Type<\/strong>: Post Doc Research<\/p>

Lab\/Location<\/strong>: Redmond, Washington<\/p>

We seek applicants from all areas of machine learning, artificial intelligence, and related fields with a passion and demonstrated ability for independent research, including a strong publication record at top international…<\/p>

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\n\t\t\t\t\t\t\tSenior Applied Scientist<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Bellevue, Washington<\/p>

The Applied Scientist-Machine Learning role is responsible for building AI models that can perform previously impossible tasks or achieve unprecedented results for most important natural language understanding tasks. Our vision is to achieve human level cognition…<\/p>

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\n\t\t\t\t\t\t\tSenior Applied Scientist<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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\n\t\t\t\t\t\t\t\t<\/p>
<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Bellevue, Washington<\/p>

The Applied Scientist-Machine Learning role is responsible for building AI models that can perform previously impossible tasks or achieve unprecedented results for most important natural language understanding tasks. Our vision is to achieve human level cognition…<\/p>

\t\t\t<\/div>\n\t\t<\/div>\n\n\t<\/div>\n<\/article>\n\n

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\n\t\t\t\t\t\t\tPrincipal Applied Scientist<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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\n\t\t\t\t\t\t\t\t<\/p>
<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Bellevue, Washington<\/p>

The Applied Scientist-Machine Learning role is responsible for building AI models that can perform previously impossible tasks or achieve unprecedented results for most important natural language understanding tasks. Our vision is to achieve human level cognition…<\/p>

\t\t\t<\/div>\n\t\t<\/div>\n\n\t<\/div>\n<\/article>\n\n

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\n\t\t\t\t\t\t\tSenior Applied Scientist<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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\n\t\t\t\t\t\t\t\t<\/p>
<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Bellevue, Washington<\/p>

Do you want to help millions of internet users find the best images on the web? The Bing Image Relevance Team develops the advanced search technology that powers Bing image search. We are responsible for delivering the best images for user\u2019s queries and browsing…<\/p>

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\n\t\t\t\t\t\t\tApplied Scientist 2<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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\n\t\t\t\t\t\t\t\t<\/p>
<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Bellevue, Washington<\/p>

Work you do here would have impact on tens of millions of users across the world, and also able to reach a wide variety of applications, such as Bing, Edge, Office, Azure Cognitive Service, and Windows…<\/p>

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\n\t\t\t\t\t\t\tApplied Scientist 2<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Bellevue, Washington<\/p>

Do you want to do groundbreaking work in deep learning and computer vision? Visual search has become a new and popular scenario due to the explosive growth of web and camera photos. Given an image, a visual search system returns all the knowledge related…<\/p>

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\n\t\t\t\t\t\t\tApplied Scientist II<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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\n\t\t\t\t\t\t\t\t<\/p>
<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Bellevue, Washington<\/p>

Are you interested in AI and machine learning technology, especially involving speech and language? Are you an expert in deep learning or willing to learn those advance techniques used in Cloud+AI products and services from Microsoft?…<\/p>

\t\t\t<\/div>\n\t\t<\/div>\n\n\t<\/div>\n<\/article>\n<\/p>\t\t\t<\/div>\n\t\t<\/div>\n\t\tOpens in a new tab<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Venue: Cit\u00e9 des Sciences et de l’industrie (opens in new tab) Website: SIGIR 2019 (opens in new tab)Opens in a new tab Microsoft is excited to be a Gold sponsor of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (opens in new tab). We will have over 16 Microsoft attendees […]<\/p>\n","protected":false},"featured_media":598327,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2019-07-21","msr_enddate":"2019-07-25","msr_location":"Paris, France","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":false,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[13555],"msr-region":[239178],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-597364","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-search-information-retrieval","msr-region-europe","msr-event-type-conferences","msr-locale-en_us"],"msr_about":"\n\n

Venue:<\/strong> Cit\u00e9 des Sciences et de l’industrie (opens in new tab)<\/span><\/a><\/p>\n

Website:<\/strong> SIGIR 2019 (opens in new tab)<\/span><\/a>Opens in a new tab<\/span><\/p>\n

Microsoft is excited to be a Gold sponsor of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval<\/a>.<\/p>\n

We will have over 16 Microsoft attendees present at the conference. Stop by our booth to chat with our experts and find out about career opportunities<\/a>\u202fwith Microsoft.<\/p>\n

Demo Co-Chair<\/h3>\n

Tie-Yan Liu<\/a><\/p>\n

Doctorial Consortium Co-Chair<\/h3>\n

Gabriella Kazai<\/p>\n

Microsoft Attendees<\/h3>\n

Ahmed Awadalla
\nAndrey Kolobov<\/a>
\nAsia J. Biega<\/a>
\nBo Han
\nChris Quirk<\/a>
\nCorbin Rosset
\nDevin Gunson
\nGabriella Kazai
\nHongfei Zhang
\nKyle Williams<\/a>
\nMona Soliman H
\nOmar Alonso
\nRyen White<\/a>
\nSaghar Hosseinisi
\nWei Wu<\/a>Opens in a new tab<\/span><\/p>\n

Microsoft session schedule<\/h2>\n

Sunday, July 21, 2019<\/h3>\n

9:00 AM\u20135:00 PM
\nBuilding Economic Models and Measures of Search<\/strong>
\nLeif Azzopardi, Alistair Moffat, Paul Thomas<\/a><\/strong>, Guido Zuccon<\/p>\n

9:00 AM\u201312:30 PM
\nDeep Chit-Chat: Deep Learning for Chatbots<\/strong>
\nWei Wu<\/a><\/strong>, Rui Yan<\/p>\n

1:30 PM\u20135:00 PM
\nFairness and Discrimination in Retrieval and Recommendation<\/strong>
\nMichael D. Ekstrand, Fernando Diaz<\/a><\/strong>, Robin Burke<\/p>\n

Monday, July 22, 2019<\/h3>\n

10:20 AM\u201311:20 AM and 3:10 PM\u20134:40 PM | Salle A
\nFrom Text to Sound: a Preliminary Study on Retrieving Sound Effects to Radio Stories<\/strong>
\nSongwei Ge, Curtis Xuan, Ruihua Song<\/a><\/strong>, Chao Zou<\/strong>, Wei Liu<\/strong>, Jin Zhou<\/p>\n

Embedding Edge-attributed Relational Hierarchies<\/strong>
\nMuhao Chen, Chris Quirk<\/a><\/strong><\/p>\n

10:20 AM\u201311:20 AM and 3:10 PM\u20134:40 PM | Salle C
\nAn Axiomatic Approach to Regularizing Neural Ranking Models<\/strong>
\nCorby Rosset<\/strong>, Bhaskar Mitra<\/a>, Chenyan Xiong<\/a>, Nick Craswell<\/a>, Xia Song<\/strong>, Saurabh Tiwary<\/strong><\/p>\n

11:20 AM\u201312:20 PM | Auditorium
\nGeneric Intent Representation in Web Search<\/strong>
\nHongfei Zhang<\/strong>, Xia Song<\/strong>, Chenyan Xiong<\/a>, Corby Rosset<\/strong>, Paul Bennett<\/a>, Nick Craswell<\/a>, Saurabh Tiwary<\/strong><\/p>\n

4:40 PM\u20136:00 PM | Auditorium
\nA Neural Influence Diffusion Model for Social Recommendation<\/strong>
\nLe Wu, Peijie Sun, Richang Hong, Yanjie Fu, Xiting Wang<\/a>, Meng Wang<\/p>\n

Tuesday, July 23, 2019<\/h3>\n

10:00 AM\u201311:00 AM and 3:10 PM\u20134:40 PM | Salle A
\nSocial Knowledge Graph Explorer<\/strong>
\nOmar Alonso<\/strong>, Vasilis Kandylas<\/strong>, Serge-Eric Tremblay<\/strong><\/p>\n

cwl_eval: An Evaluation Tool for Information Retrieval<\/strong>
\nLeif Azzopardi, Paul Thomas<\/a>, Alistair Moffat<\/p>\n

10:00 AM\u201311:00 AM and 3:10 PM\u20134:40 PM | Salle B
\nThe Emotion Profile of Web Search<\/strong>
\nGabriella Kazai<\/strong>, Paul Thomas<\/a>, Nick Craswell<\/a><\/p>\n

10:00 AM\u201311:00 AM and 3:10 PM\u20134:40 PM | Salle C
\nNRPA: Neural Recommendation with Personalized Attention<\/strong>
\nHongtao Liu, Fangzhao Wu<\/a>, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie<\/a><\/p>\n

Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems<\/strong>
\nWayne Xin Zhao, Wenhui Zhang, Yulan He, Xing Xie<\/a>, Ji-Rong Wen<\/p>\n

10:00 AM\u201311:00 AM and 3:10 PM\u20134:40 PM | Salle D
\nAutomatic Task Completion Flows from Web APIs<\/strong>
\nKyle Williams<\/a>, Seyyed Hadi Hashemi, Imed Zitouni<\/p>\n

11:00 AM\u201312:20 PM | Louis Armand 1
\nTask Completion Detection<\/strong>
\nRyen White<\/a>, Ahmed Hassan Awadallah<\/a>, Robert Sim<\/a><\/p>\n

1:30 PM\u20133:10 PM | Louis Armand 1
\nOptimal Freshness Crawl Under Politeness Constraints<\/strong>
\nAndrey Kolobov<\/a>, Yuval Peres, Eyal Lubetzky, Eric Horvitz<\/a><\/p>\n

4:40 PM\u20136:00 PM | Auditorium
\nContext-Aware Intent Identification in Email Conversations<\/strong>
\nWei Wang<\/a>, Saghar Hosseini<\/a>, Ahmed Hassan Awadallah<\/a>, Paul Bennett<\/a>, Chris Quirk<\/a><\/p>\n

Thursday, July 25, 2019<\/h3>\n

9:00 AM\u20135:00 PM
\nWorkshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR)<\/strong>
\nCo-organizer: Alexandra Olteanu<\/a><\/p>\n

ECOM\u201919: The SIGIR 2019 Workshop on eCommerce<\/strong>
\nAccepted Paper: Unsupervised Construction of a Product Knowledge Graph
\nOmar Alonso, Vasileios Kandylas, Rukmini IyerOpens in a new tab<\/span><\/p>\n

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\n\t\t\t\t\t\t\tResearcher - AI<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Redmond, Washington<\/p>

We seek applicants from all areas of machine learning, artificial intelligence, and related fields with a passion and demonstrated ability for independent research, including a strong publication record at top international research venues…<\/p>

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\n\t\t\t\t\t\t\tSenior Data & Applied Scientist<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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\n\t\t\t\t\t\t\t\t<\/p>
<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Bellevue, Washington<\/p>

We are hiring extremely talented, highly motivated and productive applied scientist with expertise in information retrieval, deep learning, machine learning, natural language processing, data mining and large scale distributed computation…<\/p>

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\n\t\t\t\t\t\t\tPost Doc Researcher - AI<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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<\/div>

Type<\/strong>: Post Doc Research<\/p>

Lab\/Location<\/strong>: Redmond, Washington<\/p>

We seek applicants from all areas of machine learning, artificial intelligence, and related fields with a passion and demonstrated ability for independent research, including a strong publication record at top international…<\/p>

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\n\t\t\t\t\t\t\tSenior Applied Scientist<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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\n\t\t\t\t\t\t\t\t<\/p>
<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Bellevue, Washington<\/p>

The Applied Scientist-Machine Learning role is responsible for building AI models that can perform previously impossible tasks or achieve unprecedented results for most important natural language understanding tasks. Our vision is to achieve human level cognition…<\/p>

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\n\t\t\t\t\t\t\tSenior Applied Scientist<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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\n\t\t\t\t\t\t\t\t<\/p>
<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Bellevue, Washington<\/p>

The Applied Scientist-Machine Learning role is responsible for building AI models that can perform previously impossible tasks or achieve unprecedented results for most important natural language understanding tasks. Our vision is to achieve human level cognition…<\/p>

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\n\t\t\t\t\t\t\tPrincipal Applied Scientist<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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\n\t\t\t\t\t\t\t\t<\/p>
<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Bellevue, Washington<\/p>

The Applied Scientist-Machine Learning role is responsible for building AI models that can perform previously impossible tasks or achieve unprecedented results for most important natural language understanding tasks. Our vision is to achieve human level cognition…<\/p>

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\n\t\t\t\t\t\t\tSenior Applied Scientist<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Bellevue, Washington<\/p>

Do you want to help millions of internet users find the best images on the web? The Bing Image Relevance Team develops the advanced search technology that powers Bing image search. We are responsible for delivering the best images for user\u2019s queries and browsing…<\/p>

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Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Bellevue, Washington<\/p>

Work you do here would have impact on tens of millions of users across the world, and also able to reach a wide variety of applications, such as Bing, Edge, Office, Azure Cognitive Service, and Windows…<\/p>

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\n\t\t\t\t\t\t\tApplied Scientist 2<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Bellevue, Washington<\/p>

Do you want to do groundbreaking work in deep learning and computer vision? Visual search has become a new and popular scenario due to the explosive growth of web and camera photos. Given an image, a visual search system returns all the knowledge related…<\/p>

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\n\t\t\t\t\t\t\tApplied Scientist II<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t
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<\/div>

Type<\/strong>: Full-time<\/p>

Lab\/Location<\/strong>: Bellevue, Washington<\/p>

Are you interested in AI and machine learning technology, especially involving speech and language? Are you an expert in deep learning or willing to learn those advance techniques used in Cloud+AI products and services from Microsoft?…<\/p>

\t\t\t<\/div>\n\t\t<\/div>\n\n\t<\/div>\n<\/article>\n<\/p>\t\t\t<\/div>\n\t\t<\/div>\n\t\tOpens in a new tab<\/span><\/p>\n","tab-content":[{"id":0,"name":"About","content":"Microsoft is excited to be a Gold sponsor of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval<\/a>.\r\n\r\nWe will have over 16 Microsoft attendees present at the conference. Stop by our booth to chat with our experts and find out about career opportunities<\/a>\u202fwith Microsoft.\r\n

Demo Co-Chair<\/h3>\r\nTie-Yan Liu<\/a>\r\n

Doctorial Consortium Co-Chair<\/h3>\r\nGabriella Kazai\r\n

Microsoft Attendees<\/h3>\r\nAhmed Awadalla\r\nAndrey Kolobov<\/a>\r\nAsia J. Biega<\/a>\r\nBo Han\r\nChris Quirk<\/a>\r\nCorbin Rosset\r\nDevin Gunson\r\nGabriella Kazai\r\nHongfei Zhang\r\nKyle Williams<\/a>\r\nMona Soliman H\r\nOmar Alonso\r\nRyen White<\/a>\r\nSaghar Hosseinisi\r\nWei Wu<\/a>"},{"id":1,"name":"Sessions","content":"

Microsoft session schedule<\/h2>\r\n

Sunday, July 21, 2019<\/h3>\r\n9:00 AM\u20135:00 PM\r\nBuilding Economic Models and Measures of Search<\/strong>\r\nLeif Azzopardi, Alistair Moffat, Paul Thomas<\/a><\/strong>, Guido Zuccon\r\n\r\n9:00 AM\u201312:30 PM\r\nDeep Chit-Chat: Deep Learning for Chatbots<\/strong>\r\nWei Wu<\/a><\/strong>, Rui Yan\r\n\r\n1:30 PM\u20135:00 PM\r\nFairness and Discrimination in Retrieval and Recommendation<\/strong>\r\nMichael D. Ekstrand, Fernando Diaz<\/a><\/strong>, Robin Burke\r\n

Monday, July 22, 2019<\/h3>\r\n10:20 AM\u201311:20 AM and 3:10 PM\u20134:40 PM | Salle A\r\nFrom Text to Sound: a Preliminary Study on Retrieving Sound Effects to Radio Stories<\/strong>\r\nSongwei Ge, Curtis Xuan, Ruihua Song<\/a><\/strong>, Chao Zou<\/strong>, Wei Liu<\/strong>, Jin Zhou\r\n\r\nEmbedding Edge-attributed Relational Hierarchies<\/strong>\r\nMuhao Chen, Chris Quirk<\/a><\/strong>\r\n\r\n10:20 AM\u201311:20 AM and 3:10 PM\u20134:40 PM | Salle C\r\nAn Axiomatic Approach to Regularizing Neural Ranking Models<\/strong>\r\nCorby Rosset<\/strong>, Bhaskar Mitra<\/a>, Chenyan Xiong<\/a>, Nick Craswell<\/a>, Xia Song<\/strong>, Saurabh Tiwary<\/strong>\r\n\r\n11:20 AM\u201312:20 PM | Auditorium\r\nGeneric Intent Representation in Web Search<\/strong>\r\nHongfei Zhang<\/strong>, Xia Song<\/strong>, Chenyan Xiong<\/a>, Corby Rosset<\/strong>, Paul Bennett<\/a>, Nick Craswell<\/a>, Saurabh Tiwary<\/strong>\r\n\r\n4:40 PM\u20136:00 PM | Auditorium\r\nA Neural Influence Diffusion Model for Social Recommendation<\/strong>\r\nLe Wu, Peijie Sun, Richang Hong, Yanjie Fu, Xiting Wang<\/a>, Meng Wang\r\n

Tuesday, July 23, 2019<\/h3>\r\n10:00 AM\u201311:00 AM and 3:10 PM\u20134:40 PM | Salle A\r\nSocial Knowledge Graph Explorer<\/strong>\r\nOmar Alonso<\/strong>, Vasilis Kandylas<\/strong>, Serge-Eric Tremblay<\/strong>\r\n\r\ncwl_eval: An Evaluation Tool for Information Retrieval<\/strong>\r\nLeif Azzopardi, Paul Thomas<\/a>, Alistair Moffat\r\n\r\n10:00 AM\u201311:00 AM and 3:10 PM\u20134:40 PM | Salle B\r\nThe Emotion Profile of Web Search<\/strong>\r\nGabriella Kazai<\/strong>, Paul Thomas<\/a>, Nick Craswell<\/a>\r\n\r\n10:00 AM\u201311:00 AM and 3:10 PM\u20134:40 PM | Salle C\r\nNRPA: Neural Recommendation with Personalized Attention<\/strong>\r\nHongtao Liu, Fangzhao Wu<\/a>, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie<\/a>\r\n\r\nAutomatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems<\/strong>\r\nWayne Xin Zhao, Wenhui Zhang, Yulan He, Xing Xie<\/a>, Ji-Rong Wen\r\n\r\n10:00 AM\u201311:00 AM and 3:10 PM\u20134:40 PM | Salle D\r\nAutomatic Task Completion Flows from Web APIs<\/strong>\r\nKyle Williams<\/a>, Seyyed Hadi Hashemi, Imed Zitouni\r\n\r\n11:00 AM\u201312:20 PM | Louis Armand 1\r\nTask Completion Detection<\/strong>\r\nRyen White<\/a>, Ahmed Hassan Awadallah<\/a>, Robert Sim<\/a>\r\n\r\n1:30 PM\u20133:10 PM | Louis Armand 1\r\nOptimal Freshness Crawl Under Politeness Constraints<\/strong>\r\nAndrey Kolobov<\/a>, Yuval Peres, Eyal Lubetzky, Eric Horvitz<\/a>\r\n\r\n4:40 PM\u20136:00 PM | Auditorium\r\nContext-Aware Intent Identification in Email Conversations<\/strong>\r\nWei Wang<\/a>, Saghar Hosseini<\/a>, Ahmed Hassan Awadallah<\/a>, Paul Bennett<\/a>, Chris Quirk<\/a>\r\n

Thursday, July 25, 2019<\/h3>\r\n9:00 AM\u20135:00 PM\r\nWorkshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR)<\/strong>\r\nCo-organizer: Alexandra Olteanu<\/a>\r\n\r\nECOM\u201919: The SIGIR 2019 Workshop on eCommerce<\/strong>\r\nAccepted Paper: Unsupervised Construction of a Product Knowledge Graph\r\nOmar Alonso, Vasileios Kandylas, Rukmini Iyer"},{"id":2,"name":"Career Opportunities","content":"[row]\r\n[card title=\"Researcher - AI\" url=\"https:\/\/careers.microsoft.com\/us\/en\/job\/509770\/Researcher-AI\" ]\r\n
<\/div>\r\n

Type<\/strong>: Full-time<\/p>\r\n

Lab\/Location<\/strong>: Redmond, Washington<\/p>\r\n

We seek applicants from all areas of machine learning, artificial intelligence, and related fields with a passion and demonstrated ability for independent research, including a strong publication record at top international research venues...<\/p>\r\n[\/card]\r\n[card title=\"Senior Data & Applied Scientist\" url=\"https:\/\/careers.microsoft.com\/us\/en\/job\/547488\/Senior-Data-Applied-Scientist\" ]\r\n

<\/div>\r\n

Type<\/strong>: Full-time<\/p>\r\n

Lab\/Location<\/strong>: Bellevue, Washington<\/p>\r\n

We are hiring extremely talented, highly motivated and productive applied scientist with expertise in information retrieval, deep learning, machine learning, natural language processing, data mining and large scale distributed computation...<\/p>\r\n[\/card]\r\n[card title=\"Post Doc Researcher - AI\" url=\"https:\/\/careers.microsoft.com\/us\/en\/job\/509769\/Post-Doc-Researcher-AI\" ]\r\n

<\/div>\r\n

Type<\/strong>: Post Doc Research<\/p>\r\n

Lab\/Location<\/strong>: Redmond, Washington<\/p>\r\n

We seek applicants from all areas of machine learning, artificial intelligence, and related fields with a passion and demonstrated ability for independent research, including a strong publication record at top international...<\/p>\r\n[\/card]\r\n[card title=\"Senior Applied Scientist\" url=\"https:\/\/careers.microsoft.com\/us\/en\/job\/650268\/Senior-Applied-Scientist\" ]\r\n

<\/div>\r\n

Type<\/strong>: Full-time<\/p>\r\n

Lab\/Location<\/strong>: Bellevue, Washington<\/p>\r\n

The Applied Scientist-Machine Learning role is responsible for building AI models that can perform previously impossible tasks or achieve unprecedented results for most important natural language understanding tasks. Our vision is to achieve human level cognition...<\/p>\r\n[\/card]\r\n[card title=\"Senior Applied Scientist\" url=\"https:\/\/careers.microsoft.com\/us\/en\/job\/599798\/Senior-Applied-Scientist\" ]\r\n

<\/div>\r\n

Type<\/strong>: Full-time<\/p>\r\n

Lab\/Location<\/strong>: Bellevue, Washington<\/p>\r\n

The Applied Scientist-Machine Learning role is responsible for building AI models that can perform previously impossible tasks or achieve unprecedented results for most important natural language understanding tasks. Our vision is to achieve human level cognition...<\/p>\r\n[\/card]\r\n[card title=\"Principal Applied Scientist\" url=\"https:\/\/careers.microsoft.com\/us\/en\/job\/586756\/Principal-Applied-Scientist\" ]\r\n

<\/div>\r\n

Type<\/strong>: Full-time<\/p>\r\n

Lab\/Location<\/strong>: Bellevue, Washington<\/p>\r\n

The Applied Scientist-Machine Learning role is responsible for building AI models that can perform previously impossible tasks or achieve unprecedented results for most important natural language understanding tasks. Our vision is to achieve human level cognition...<\/p>\r\n[\/card]\r\n[card title=\"Senior Applied Scientist\" url=\"https:\/\/careers.microsoft.com\/us\/en\/job\/624569\/Senior-Applied-Scientist\" ]\r\n

<\/div>\r\n

Type<\/strong>: Full-time<\/p>\r\n

Lab\/Location<\/strong>: Bellevue, Washington<\/p>\r\n

Do you want to help millions of internet users find the best images on the web? The Bing Image Relevance Team develops the advanced search technology that powers Bing image search. We are responsible for delivering the best images for user\u2019s queries and browsing...<\/p>\r\n[\/card]\r\n[card title=\"Applied Scientist 2\" url=\"https:\/\/careers.microsoft.com\/us\/en\/job\/598011\/Applied-Scientist-2\" ]\r\n

<\/div>\r\n

Type<\/strong>: Full-time<\/p>\r\n

Lab\/Location<\/strong>: Bellevue, Washington<\/p>\r\n

Work you do here would have impact on tens of millions of users across the world, and also able to reach a wide variety of applications, such as Bing, Edge, Office, Azure Cognitive Service, and Windows...<\/p>\r\n[\/card]\r\n[card title=\"Applied Scientist 2\" url=\"https:\/\/careers.microsoft.com\/us\/en\/job\/643780\/Applied-Scientist-2\" ]\r\n

<\/div>\r\n

Type<\/strong>: Full-time<\/p>\r\n

Lab\/Location<\/strong>: Bellevue, Washington<\/p>\r\n

Do you want to do groundbreaking work in deep learning and computer vision? Visual search has become a new and popular scenario due to the explosive growth of web and camera photos. Given an image, a visual search system returns all the knowledge related...<\/p>\r\n[\/card]\r\n[card title=\"Applied Scientist II\" url=\"https:\/\/careers.microsoft.com\/us\/en\/job\/615317\/Applied-Scientist-II\" ]\r\n

<\/div>\r\n

Type<\/strong>: Full-time<\/p>\r\n

Lab\/Location<\/strong>: Bellevue, Washington<\/p>\r\n

Are you interested in AI and machine learning technology, especially involving speech and language? Are you an expert in deep learning or willing to learn those advance techniques used in Cloud+AI products and services from Microsoft?...<\/p>\r\n[\/card]\r\n[\/row]"}],"msr_startdate":"2019-07-21","msr_enddate":"2019-07-25","msr_event_time":"","msr_location":"Paris, France","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"July 21, 2019","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":"\"Panoramic","event_excerpt":"Microsoft is excited to be a Gold sponsor of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. We will have over 16 Microsoft attendees present at the conference. Stop by our booth to chat with our experts and find out about career opportunities\u202fwith Microsoft. Demo Co-Chair Tie-Yan Liu Doctorial Consortium Co-Chair Gabriella Kazai Microsoft Attendees Ahmed Awadalla Andrey Kolobov Asia J. Biega Bo Han Chris Quirk Corbin Rosset Devin Gunson…","msr_research_lab":[],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[],"related-videos":[],"related-posts":[597748,597991],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/597364","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":3,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/597364\/revisions"}],"predecessor-version":[{"id":1147036,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/597364\/revisions\/1147036"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/598327"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=597364"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=597364"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=597364"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=597364"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=597364"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=597364"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=597364"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=597364"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=597364"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}