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A Fuzzy-Based Approach to User Model Refinement in Adaptive Hypermedia Systems

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Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2347))

Abstract

This paper presents an approach for refinement of the user model in hypermedia applications using fuzzy adaptation rules. The rules register relevant user browsing actions and this way change the strength of relationship between the user model attributes and the concepts of the knowledge domain. The process of fuzzy inference is formalized with fuzzy automaton. Using appropriate authoring tool fuzzy automata provides a method for detecting conflicts and inconsistency in the set of rules, in an automated fashion.

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References

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Author information

Authors and Affiliations

  1. Karpos II, Electric Engineering Faculty, 1000, Skopje, Macedonia

    Cveta Martinovska

Authors
  1. Cveta Martinovska
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Editor information

Editors and Affiliations

  1. School of Information Sciences Department of Information Science and Telecommunications, University of Pittsburgh, 135 North Bellefield Avenue, Pittsburgh, PA, 15260, USA

    Peter Brusilovsky

  2. Department of Computer Science, Eindhoven University of Technology, P.O. Box 513, 5600 MB, Einhoven, The Netherlands

    Paul De Bra

  3. Escuela Tecnica Superior de Ingenieros en Informatica Departamento de Lenguajes y Ciencias de la Computacion, Universidad de Málaga, Boulevard Luis Pasteur, 35, Málaga, Spain

    Ricardo Conejo

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© 2002 Springer-Verlag Berlin Heidelberg

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Martinovska, C. (2002). A Fuzzy-Based Approach to User Model Refinement in Adaptive Hypermedia Systems. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2002. Lecture Notes in Computer Science, vol 2347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47952-X_49

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  • DOI: https://doi.org/10.1007/3-540-47952-X_49

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43737-6

  • Online ISBN: 978-3-540-47952-9

  • eBook Packages: Springer Book Archive

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