Case-based reasoning as a prediction strategy for hybrid recommender systems

M.J. van Setten, M. Veenstra, Antinus Nijholt, Elisabeth M.A.G. van Dijk

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    15 Citations (Scopus)

    Abstract

    Hybrid recommender systems are capable of providing better rec-ommendations than non-hybrid ones. Our approach to hybrid recommenders is the use of prediction strategies that determine which prediction technique(s) should be used at the moment an actual prediction is required. In this paper, we determine whether case-based reasoning can provide more accurate prediction strategies than rule-based predictions strategies created manually by experts. Experiments show that case-based reasoning can indeed be used to create pre-diction strategies; it can even increase the accuracy of the recommender in sys-tems where the accuracy of the used prediction techniques is highly spread.
    Original languageUndefined
    Title of host publicationSecond International Atlantic Web Intelligence Conference (AWIC 2004), Cancun, Mexico
    EditorsJ. Favela, E. Menasalvas, E. Chávez
    Place of PublicationHeidelberg
    PublisherSpringer
    Pages13-22
    Number of pages9
    ISBN (Print)3-540-22009-7
    Publication statusPublished - 16 May 2004
    EventSecond International Atlantic Web Intelligence Conference (AWIC 2004), Cancun, Mexico - Cancun, Mexico
    Duration: 16 May 200419 May 2004

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer-Verlag
    Volume3034
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    ConferenceSecond International Atlantic Web Intelligence Conference (AWIC 2004), Cancun, Mexico
    Period16/05/0419/05/04
    Other16-19 May 2004

    Keywords

    • EWI-6748
    • IR-63387
    • METIS-221137
    • HMI-IE: Information Engineering

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