Using Lexical Semantic Relation and Multi-attribute Structures for User Profile Adaptation

  • Agnieszka Indyka-Piasecka
  • Piotr Jacewicz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8397)


This contribution presents a new approach to the representation of user interests and preferences at information retrieval process. 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. Building, modifying, expanding by semantically related terms and using procedures for the profile are presented. Experiments concerning the profile, as a personalization mechanism of Web retrieval system, are presented and discussed.


Information Retrieval User Modeling Relevant Document User Profile Query Expansion 
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 International Publishing Switzerland 2014

Authors and Affiliations

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

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