CLIN 2005 Abstracts
  • User Model for personalizing information retrieval in several server of information
    Samir Kechid (Research laboratory in Artificial, Intelligence (LRIA) Department of Computer Science, faculty of Electrical and Computer Science, USTHB, El Alia BP 32, Bab Ezzouar, Algiers)
    Habiba Drias (National Institute of Informatics, (INI) BP 68M, Oued-Smar, Algiers)
    Our work treats two research orientations which are the personalized information retrieval and the access to several servers of information. The prob-lem of the personalized information retrieval is how to integrate the user model in his research for information. The problem of access to several servers of in-formation is how to reduce the cost of the access to these various servers. After having study the approaches of personalization of information and those treat the problem of the reduction of the cost of the retrieval process in the access to multiple servers of information, which consist in servers selecting and result merging. We presented our contribution which consists in defining a represen-tation of the user interests and to adapt it to the resolution of the problems of the personalization of the information retrieval and the reduction of the cost of the process of access to several servers of information.