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Automatic Profile Reformulation Using a Local Document Analysis

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Advances in Information Retrieval (ECIR 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2291))

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Abstract

User profiles are more and more used in information retrieval system in order to assist users in finding relevant information. Profiles are continuously updated to evolve at the same time the user information need does. In this paper we present a reformulation strategy used to automatically update the profile content. In a first stage, a local document set is computed from the search results. In a second stage, the local set is analyzed to select the terms to add to the profile expression. Experiments have been performed on an extract from the OHSUMED database to evaluate the effectiveness of the adaptation process.

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Author information

Authors and Affiliations

  1. Institut de recherche en informatique de Toulouse, 118 Route de Narbonne, 31066, Toulouse Cedex, France

    Anis Benammar, Gilles Hubert & Josiane Mothe

  2. Institut universitaire de formation des maîtres, France

    Josiane Mothe

Authors
  1. Anis Benammar
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  2. Gilles Hubert
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  3. Josiane Mothe
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Sciences, University of Strathclyde, 26 Richmond Street, G1 1XH, Glasgow, UK

    Fabio Crestani

  2. School of Information and Communication Technologies, University of Paisley, High Street, PA1 2BE, Paisley, UK

    Mark Girolami

  3. Computing Science Department, University of Glasgow, 17 Lilybank Gardens, G12 8RZ, Glasgow, UK

    Cornelis Joost van Rijsbergen

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© 2002 Springer-Verlag Berlin Heidelberg

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Benammar, A., Hubert, G., Mothe, J. (2002). Automatic Profile Reformulation Using a Local Document Analysis. In: Crestani, F., Girolami, M., van Rijsbergen, C.J. (eds) Advances in Information Retrieval. ECIR 2002. Lecture Notes in Computer Science, vol 2291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45886-7_9

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  • DOI: https://doi.org/10.1007/3-540-45886-7_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43343-9

  • Online ISBN: 978-3-540-45886-9

  • eBook Packages: Springer Book Archive

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