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Abstract: This paper evaluates the robustness of learning from implicit feedback in web search. In particular, we create a model of user behavior by drawing upon user studies in laboratory and real-world settings. The model is used to understand the e#ect of user behavior on the performance of a learning algorithm for ranked retrieval. We explore a wide range of possible user behaviors and find that learning from implicit feedback can be surprisingly robust. (Update)
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BibTeX entry: (Update)
@misc{ radlinski-evaluating,
author = "Filip Radlinski and Thorsten Joachims",
title = "Evaluating the Robustness of Learing from Implicit Feedback",
url = "citeseer.ist.psu.edu/733217.html" }
Citations (may not include all citations):268 Making large-scale SVM learning practical - Joachims - 1999
61 Learning to order things - Cohen, Shapire et al. - 1999
57 Analysis of a very large AltaVista query log - Silverstein, Henzinger et al. - 1998
57 Optimizing search engines using clickthrough data - Joachims - 2002
17 Large margin rank boundaries for ordinal regression (context) - Herbrich, Graepel et al. - 2000
14 Implicit feedback for inferring user preference: A bibliogra.. (context) - Kelly, Teevan - 2003
11 Pranking with ranking - Crammer, Singer - 2001
7 cient boosting algorithm for combining preferences (context) - Freund, Iyer et al. - 1998
6 Accurately interpreting clickthrough data as implicit feedba.. (context) - Joachims, Granka et al. - 2005
5 Learning to retrieve information - Bartell, Cottrell - 1995
4 Long-term learning for web search engines - Kemp, Ramamohanarao - 2003
3 Eyetracking analysis of user behavior in www search - Granka, Joachims et al. - 2004
2 Classification approach towards ranking and sorting problems (context) - Rajaram, Garg et al. - 2003
2 Eye tracking analysis of user behaviors in online search (context) - Granka - 2004
2 Query chains: Learning to rank from implicit feedback - Radlinski, Joachims - 2005
2 Patterns of search: Analyzing and modelling web query refine.. (context) - Lau, Horvitz - 1999
Documents on the same site (http://www5.cs.cornell.edu/~filip/research.php):
Query Chains: Learning to Rank from Implicit Feedback - Radlinski, Joachims (2005) (Correct)
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