@inproceedings{white2004a,
author = {White, Ryen W. and Jose, Joemon M. and Rijsbergen, C.J. van and Ruthven, Ian},
title = {A Simulated Study of Implicit Feedback Models},
booktitle = {26th Annual European Conference on Information Retrieval (ECIR 2004), Sunderland, United Kingdom},
year = {2004},
month = {April},
abstract = {In this paper we report on a study of implicit feedback models for unobtrusively tracking the information needs of searchers. Such models use relevance information gathered from searcher interaction and can be a potential substitute for explicit relevance feedback. We introduce a variety of implicit feedback models designed to enhance an Information Retrieval (IR) system’s representation of searchers’ information needs. To benchmark their performance we use a simulation-centric evaluation methodology that measures how well each model learns relevance and improves search effectiveness. The results show that a heuristic-based binary voting model and one based on Jeffrey’s rule of conditioning [5] outperform the other models under investigation.},
url = {http://approjects.co.za/?big=en-us/research/publication/simulated-study-implicit-feedback-models/},
pages = {311-326},
edition = {26th Annual European Conference on Information Retrieval (ECIR 2004), Sunderland, United Kingdom},
note = {Best Student Paper Award},
}