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A simulated study of implicit feedback models

White, R.W. and Jose, J.M. and van Rijsbergen, C.J. and Ruthven, I. (2004) A simulated study of implicit feedback models. In: Advances in Information Retrieval. Lecture Notes in Computer Science, 2997 . Springer-Verlag, Berlin-Heidelberg, pp. 311-326. ISBN 3540213821

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    Abstract

    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 searcher interaction and can be a potential substitute for explicit relevance feedback. We introduce a variety of implicit feedback models designed to enhance an Information Retrieval (IR) system's representation of searchers' information needs. To benchmark their performance we use a simulation-centric evaluation methodology that measures how well each model learns relevance and improves search effectiveness. The results show that a heuristic-based binary voting model and one based on Jeffrey's rule of conditioning [5] outperform the other models under investigation.

    Item type: Book Section
    ID code: 22467
    Notes: Paper presented at the 26th European Conference on Information Retrieval (ECIR), 5-7 Apr 2004, Sunderland, UK.
    Keywords: implicit feedback, computer science, information retrieval, web search, relevance ranking
    Subjects: Bibliography. Library Science. Information Resources > Library Science. Information Science
    Department: Faculty of Science > Computer and Information Sciences
    Faculty of Engineering > Architecture
    Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 17 Sep 2010 16:10
    Last modified: 06 Sep 2014 13:28
    URI: http://strathprints.strath.ac.uk/id/eprint/22467

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