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» Extending Relevance Model for Relevance Feedback
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SIGIR
2008
ACM
13 years 6 months ago
Parsimonious relevance models
We describe a method for applying parsimonious language models to re-estimate the term probabilities assigned by relevance models. We apply our method to six topic sets from test ...
Edgar Meij, Wouter Weerkamp, Krisztian Balog, Maar...
CIKM
2010
Springer
13 years 5 months ago
Fast query expansion using approximations of relevance models
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...
TREC
2008
13 years 8 months ago
Incorporating Non-Relevance Information in the Estimation of Query Models
: We describe the participation of the University of Amsterdam's ILPS group in the relevance feedback track at TREC 2008. We introduce a new model which incorporates informati...
Edgar Meij, Wouter Weerkamp, Jiyin He, Maarten de ...
CIKM
2009
Springer
14 years 1 months ago
Exploring relevance for clicks
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
Rongwei Cen, Yiqun Liu, Min Zhang, Bo Zhou, Liyun ...
TREC
2007
13 years 7 months ago
University of Twente at the TREC 2007 Enterprise Track: Modeling Relevance Propagation for the Expert Search Task
This paper describes several approaches which we used for the expert search task of the TREC 2007 Enterprise track. We studied several methods of relevance propagation from docume...
Pavel Serdyukov, Henning Rode, Djoerd Hiemstra