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Automatic Profile Reformulation Using a Local Document Analysis

  • Anis Benammar
  • Gilles Hubert
  • Josiane Mothe
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2291)

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.

Keywords

Relevance Feedback User Information Query Expansion Information Retrieval System Reformulation Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Anis Benammar
    • 1
  • Gilles Hubert
    • 1
  • Josiane Mothe
    • 1
    • 2
  1. 1.Institut de recherche en informatique de ToulouseToulouse CedexFrance
  2. 2.Institut universitaire de formation des maîtresFrance

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