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An Adaptation Method for Hierarchical User Profile in Personalized Document Retrieval Systems

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Intelligent Information and Database Systems (ACIIDS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9011))

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Abstract

Nowadays personalization systems becomes more and more famous. Usually, such systems gather information about a user to recommend him better results: web pages, documents, etc. Important aspect of modeling user procedures is to keep the profile up-to-date according to changes of user interests. In this paper a hierarchical model of user profile is considered. Connections between terms in a hierarchy reflects generalization relation. A set of assumption for profile structure is proposed. For such an user profile a method for its adaptation is presented and a quality criterion for this method is proposed. Experimental evaluation has shown that quality criterion is satisfied.

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Author information

Authors and Affiliations

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

    Bernadetta Maleszka

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  1. Bernadetta Maleszka
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Correspondence to Bernadetta Maleszka .

Editor information

Editors and Affiliations

  1. Ton Duc Thang University, Ho Chi Minh city, Vietnam

    Ngoc Thanh Nguyen

  2. Wroclaw University of Technology, Wroclaw, Poland

    Bogdan Trawiński

  3. Bina Nusantara University, Jakarta, Indonesia

    Raymond Kosala

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Maleszka, B. (2015). An Adaptation Method for Hierarchical User Profile in Personalized Document Retrieval Systems. In: Nguyen, N., Trawiński, B., Kosala, R. (eds) Intelligent Information and Database Systems. ACIIDS 2015. Lecture Notes in Computer Science(), vol 9011. Springer, Cham. https://doi.org/10.1007/978-3-319-15702-3_11

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  • DOI: https://doi.org/10.1007/978-3-319-15702-3_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15701-6

  • Online ISBN: 978-3-319-15702-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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