Incorporating user search behavior into relevance feedback

Authors:
Ian Ruthven;Mounia Lalmas;Keith Van Rijsbergen
Affiliations:
Department of Computer and Information Sciences, University of Strathclyde, Glasgow, G1 IXH;Department of Computer Science, Queen Mary, University of London, London, E1 4NS;Department of Computing Science, University of Glasgow, Glasgow, G12 8QQ
Venue:
Journal of the American Society for Information Science and Technology
Year:
2003

Citing 16
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Abstract

In this paper, we present five user experiments on incorporating behavioral information into the relevance feedback process. In particular, we concentrate on ranking terms for query expansion and selecting new terms to add to the user's query. Our experiments are an attempt to widen the evidence used for relevance feedback from simply the relevant documents to include information on how users are searching. We show that this information can lead to more successful relevance feedback techniques. We also show that the presentation of relevance feedback to the user is important in the success of relevance feedback.