Using multi-attribute structures and significance term evaluation for user profile adaptation

  • Authors:
  • Agnieszka Indyka-Piasecka

  • Affiliations:
  • Institute of Informatics, Wrocław University of Technology, Poland

  • Venue:
  • ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
  • Year:
  • 2011

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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.