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» A Time-Based Recommender System Using Implicit Feedback
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ECIR
2004
Springer
13 years 11 months ago
A Simulated Study of Implicit Feedback Models
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 se...
Ryen W. White, Joemon M. Jose, C. J. van Rijsberge...
AH
2006
Springer
14 years 4 months ago
Ways of Computing Diverse Collaborative Recommendations
Abstract. Conversational recommender systems adapt the sets of products they recommend in light of user feedback. Our contribution here is to devise and compare four different mec...
Derek G. Bridge, John Paul Kelly
SIGIR
2005
ACM
14 years 3 months ago
Automated evaluation of search engine performance via implicit user feedback
Measuring the information retrieval effectiveness of Web search engines can be expensive if human relevance judgments are required to evaluate search results. Using implicit user ...
Himanshu Sharma, Bernard J. Jansen
EEE
2005
IEEE
14 years 4 months ago
Semantic Feedback for Hybrid Recommendations in Recommendz
In this paper we discuss the Recommendz 1 recommender system. This domain-independent system combines the advantages of collaborative and content-based filtering in a novel way. ...
Matthew Garden, Gregory Dudek
CONTEXT
2007
Springer
14 years 4 months ago
A Qualitative Look at Eye-tracking for Implicit Relevance Feedback
Our goal in this study was to explore the potentials of extracting features from eye-tracking data that have the potential to improve performance in implicit relevance feedback. We...
Kirsten Kirkegaard Moe, Jeanette M. Jensen, Birger...