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Dynamic User Profiles Based on Boolean Formulas

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Innovations in Applied Artificial Intelligence (IEA/AIE 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3029))

Abstract

In this paper the model of interests and preferences of information retrieval system users is presented. The paper starts with a short overview on areas of user profiles applications. Subsequently, a method to represent user profiles in the field of Web document retrieval by using query terms and weighted terms of retrieved documents is presented. The method is based on evaluating the relevance of retrieved documents by the user. The relevant documents are the basis to construct so called subprofiles. The created subprofiles represent user interests and preferences, and are used for the user query modification.

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Author information

Authors and Affiliations

  1. Department of Information Systems, Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Czeslaw Danilowicz & Agnieszka Indyka-Piasecka

Authors
  1. Czeslaw Danilowicz
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  2. Agnieszka Indyka-Piasecka
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Editor information

Editors and Affiliations

  1. Institute for Information Technology, National Research Council of Canada, 1200 Montreal Read, M-50, K1A 0R6, Ottawa, Ontario, Canada

    Bob Orchard

  2. Institute for Information Technology, National Research Council, Canada

    Chunsheng Yang

  3. Department of Computer Science, Texas State University-San Marcos, Nueces 247, 601 University Drive, TX 78666-4616, San Marcos, USA

    Moonis Ali

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© 2004 Springer-Verlag Berlin Heidelberg

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Danilowicz, C., Indyka-Piasecka, A. (2004). Dynamic User Profiles Based on Boolean Formulas. In: Orchard, B., Yang, C., Ali, M. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2004. Lecture Notes in Computer Science(), vol 3029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24677-0_80

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  • DOI: https://doi.org/10.1007/978-3-540-24677-0_80

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22007-7

  • Online ISBN: 978-3-540-24677-0

  • eBook Packages: Springer Book Archive

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