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Combining and selecting characteristics of information use

Ruthven, I. and Lalmas, M. and van Rijsbergen, C.J. (2002) Combining and selecting characteristics of information use. Journal of the American Society for Information Science and Technology, 53 (5). pp. 378-396.

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    Abstract

    In this paper we report on a series of experiments designed to investigate the combination of term and document weighting functions in Information Retrieval. We describe a series of weighting functions, each of which is based on how information is used within documents and collections, and use these weighting functions in two types of experiments: one based on combination of evidence for ad-hoc retrieval, the other based on selective combination of evidence within a relevance feedback situation. We discuss the difficulties involved in predicting good combinations of evidence for ad-hoc retrieval, and suggest the factors that may lead to the success or failure of combination. We also demonstrate how, in a relevance feedback situation, the relevance assessments can provide a good indication of how evidence should be selected for query term weighting. The use of relevance information to guide the combination process is shown to reduce the variability inherent in combination of evidence.

    Item type: Article
    ID code: 1891
    Keywords: Artificial Intelligence, Software, Computer Networks and Communications, Information Systems, Human-Computer Interaction
    Subjects: Bibliography. Library Science. Information Resources > Library Science. Information Science
    Department: Faculty of Science > Computer and Information Sciences
    Related URLs:
      Depositing user: Strathprints Administrator
      Date Deposited: 26 Oct 2006
      Last modified: 04 Sep 2014 13:06
      URI: http://strathprints.strath.ac.uk/id/eprint/1891

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