Using Thematic Ontologies for User- and Group-Based Adaptive Personalization in Web Searching

  • Alexandros Paramythis
  • Florian König
  • Christian Schwendtner
  • Lex van Velsen
Conference paper

DOI: 10.1007/978-3-642-14758-6_2

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5811)
Cite this paper as:
Paramythis A., König F., Schwendtner C., van Velsen L. (2010) Using Thematic Ontologies for User- and Group-Based Adaptive Personalization in Web Searching. In: Detyniecki M., Leiner U., Nürnberger A. (eds) Adaptive Multimedia Retrieval. Identifying, Summarizing, and Recommending Image and Music. AMR 2008. Lecture Notes in Computer Science, vol 5811. Springer, Berlin, Heidelberg

Abstract

This paper presents Prospector, an adaptive meta-search layer, which performs personalized re-ordering of search results. Prospector combines elements from two approaches to adaptive search support: (a) collaborative web searching; and, (b) personalized searching using semantic metadata. The paper focuses on the way semantic metadata and the users’ search behavior are utilized for user- and group- modeling, as well as on how these models are used to re-rank results returned for individual queries. The paper also outlines past evaluation activities related to Prospector, and discusses potential applications of the approach for the adaptive retrieval of multimedia documents.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Alexandros Paramythis
    • 1
  • Florian König
    • 1
  • Christian Schwendtner
    • 1
  • Lex van Velsen
    • 2
  1. 1.Institute for Information Processing and Microprocessor Technology (FIM)Johannes Kepler UniversityLinzAustria
  2. 2.Department of Technical and Professional CommunicationUniversity of TwenteEnschedeThe Netherlands

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