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A Method for Profile Clustering Using Ontology Alignment in Personalized Document Retrieval Systems

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Computational Collective Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9329))

Abstract

User modeling is crucial aspect of personalized document retrieval systems. In this paper we propose to use ontology-based user profile while ontological structures are appropriate to represent dependencies between concepts in user profile. A method for clustering set of users is proposed. As a similarity measure between ontological profiles we present a novel approach using ontology alignment methods. To avoid “cold-start problem” we developed method for profile recommendation for a new user.

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Author information

Authors and Affiliations

  1. Department of Information System, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Bernadetta Maleszka

Authors
  1. Bernadetta Maleszka
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Correspondence to Bernadetta Maleszka .

Editor information

Editors and Affiliations

  1. Universidad Complutense de Madrid, Madrid, Spain

    Manuel Núñez

  2. Wrocław University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. Computer Science Department, Universidad Autónoma De Madrid, Madrid, Spain

    David Camacho

  4. Wrocław University of Technology, Wroclaw, Poland

    Bogdan Trawiński

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Maleszka, B. (2015). A Method for Profile Clustering Using Ontology Alignment in Personalized Document Retrieval Systems. In: Núñez, M., Nguyen, N., Camacho, D., Trawiński, B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science(), vol 9329. Springer, Cham. https://doi.org/10.1007/978-3-319-24069-5_39

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  • DOI: https://doi.org/10.1007/978-3-319-24069-5_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24068-8

  • Online ISBN: 978-3-319-24069-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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