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Using Multi-attribute Structures and Significance Term Evaluation for User Profile Adaptation

  • Agnieszka Indyka-Piasecka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6922)

Abstract

This contribution presents a new approach to the representation of user’s interests and preferences. The adaptive user profile includes both interests given explicitly by the user, as a query, and also preferences expressed by the valuation of relevance of retrieved documents, so to express field independent translation between terminology used by user and terminology accepted in some field of knowledge. Procedures for building, modifying and using the profile, heuristic-based significant terms selection from relevant documents are presented. Experiments concerning the profile, as a personalization mechanism of Web search system, are presented and discussed.

Keywords

User Modeling Relevant Document User Profile Query Expansion User Query 
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 2011

Authors and Affiliations

  • Agnieszka Indyka-Piasecka
    • 1
  1. 1.Institute of InformaticsWrocław University of TechnologyPoland

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