Hybrid Personalization for Recommendations

Eelco Herder, Philipp Kärger

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


    In this paper we present the concept of hybrid personalization, the combination of multiple atomic personalization mechanisms. The idea of hybrid personalization is related to hybrid recommender systems, but works on a conceptual level—it is decoupled from the actual adaptation in the user interface. This has as an advantage that one can optimize the adaptation ‘behind the screens’ or—conversely—attach a new visualization mechanism to the personalization technique. We show the practical benefits of this layered, hybrid adaptation mechanisms by means of a case study on personalized curriculum planning where it is recommended which course could or should be followed at which state in the learning process.
    Original languageEnglish
    Title of host publicationProceedings of the 16th Workshop on Adaptivity and User Modeling in Interactive System,
    EditorsJoachim Baumeister, Martin Atzmüller
    Place of PublicationWurzbürg
    PublisherDepartment of Computer Science, University of Würzburg
    Publication statusPublished - 25 Nov 2008
    EventABIS 2008: 16th Workshop on Adaptivity and User Modeling in Interactive Systems - Wurzbürg, Germany
    Duration: 6 Oct 20088 Oct 2008


    ConferenceABIS 2008
    Abbreviated titleABIS 2008


    • personalization
    • recommendation


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