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A study of factors affecting the utility of implicit relevance feedback

White, R.W. and Ruthven, I. and Jose, J.M. (2005) A study of factors affecting the utility of implicit relevance feedback. In: Proceedings of the Twenty-Eighth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM Press, pp. 35-42. ISBN 1-59593-034-5

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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 method of gathering information on user interest and, if IRF is to be used in operational IR systems, it is important to establish when it performs well and when it performs poorly. In this paper we investigate how the use and effectiveness of IRF is affected by three factors: search task complexity, the search experience of the user and the stage in the search. Our findings suggest that all three of these factors contribute to the utility of IRF.

Item type: Book Section
ID code: 2725
Keywords: searching, relevance ranking, search algorithm, implicit relevance feedback, Electronic computers. Computer science
Subjects: Science > Mathematics > Electronic computers. Computer science
Department: Faculty of Science > Computer and Information Sciences
Faculty of Engineering > Architecture
Depositing user: Strathprints Administrator
Date Deposited: 28 Mar 2007
Last modified: 24 Jul 2015 13:24
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