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METIORE: A Personalized Information Retrieval System

  • David Bueno
  • Amos A. David
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2109)

Abstract

The idea of personalizing the interactions of a system is not new. With stereotypes the users are grouped into classes where all the users in a class have similar characteristics. Personalization was therefore not on individual basis but on a group of users. Personalized systems are also used in Intelligent Tutoring Systems (ITS) and in information filtering. In ITS, the pedagogical activities of a learner is personalized and in information filtering, the long-term stable information need of the user is used to filter incoming new information. We propose an explicit individual user model for representing the user’s activities during information retrieval. One of the new ideas here is that personalization is really individualized and linked with the user’s objective, that is his information need. Our proposals are implemented in the prototype METIORE for providing access to the publications in our laboratory. This prototype was experimented and we present in this paper the first results of our observation.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • David Bueno
    • 1
  • Amos A. David
    • 2
  1. 1.Department of Languages and Computer ScienceUniversity of MálagaMálagaSpain
  2. 2.LORIAVandoeuvreFrance

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