Towards an adaptive information retrieval system

  • A. Goker
  • T. L. McCluskey
Communications Learning and Adaptive Systems
Part of the Lecture Notes in Computer Science book series (LNCS, volume 542)


Standard Information Retrieval Systems (IRS) can be used to retrieve information in response to specific requests, but they have no powers of adaption to particular users over repeated sessions. This paper describes a learning system which uses relevance feedback from a probabilistic IRS to incrementally evolve a context for a user, over a number of online sessions. We demonstrate the learning implementation with an example, and argue that it can help an IRS adapt to a user's specific needs, by using this context to influence document display and selection.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • A. Goker
    • 1
  • T. L. McCluskey
    • 2
  1. 1.Department of Information ScienceCity UniversityLondonUK
  2. 2.Department of Computer ScienceCity UniversityLondonUK

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