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SIGIR
2005
ACM
13 years 10 months ago
A study of factors affecting the utility of implicit relevance feedback
Implicit relevance feedback (IRF) is the process by which a search system unobtrusively gathers evidence on searcher interests from their interaction with the system. IRF is a new...
Ryen W. White, Ian Ruthven, Joemon M. Jose
CIKM
2007
Springer
13 years 10 months ago
Utilizing a geometry of context for enhanced implicit feedback
Implicit feedback algorithms utilize interaction between searchers and search systems to learn more about users’ needs and interests than expressed in query statements alone. Th...
Massimo Melucci, Ryen W. White
CONTEXT
2007
Springer
13 years 10 months ago
Discovering Hidden Contextual Factors for Implicit Feedback
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Massimo Melucci, Ryen W. White
SIGIR
2005
ACM
13 years 10 months ago
Accurately interpreting clickthrough data as implicit feedback
This paper examines the reliability of implicit feedback generated from clickthrough data in WWW search. Analyzing the users’ decision process using eyetracking and comparing im...
Thorsten Joachims, Laura A. Granka, Bing Pan, Hele...
SIGIR
2002
ACM
13 years 4 months ago
Finding relevant documents using top ranking sentences: an evaluation of two alternative schemes
In this paper we present an evaluation of techniques that are designed to encourage web searchers to interact more with the results of a web search. Two specific techniques are ex...
Ryen White, Ian Ruthven, Joemon M. Jose