Prediction strategies: Combining prediction techniques to optimize personalization

Mark van Setten, L. Ardissono (Editor), A. Buczak (Editor), Mettina Veenstra, Antinus Nijholt

    Research output: Contribution to conferencePaperpeer-review


    An important step in providing personalized information, such as personalized electronic program guides, is predicting the level of interest for a specific user in information, such as TV programs. This paper describes a model that can be used to combine prediction techniques, which predict the level of interest, into prediction strategies. Our hypothesis is that prediction strategies optimize the prediction quality and that they lead to more reliable predictions, because they take into account the state of the system, the users and the information. Results of an initial experiment support this hypothesis.
    Original languageUndefined
    Number of pages9
    Publication statusPublished - 12 May 2002
    Event2nd Workshop on Personalisation in Future TV, TV-02 - Universidad de Málaga, Málaga, Spain
    Duration: 12 May 200212 May 2002
    Conference number: 2


    Workshop2nd Workshop on Personalisation in Future TV, TV-02
    Abbreviated titleTV-02


    • HMI-IE: Information Engineering
    • EWI-6675
    • IR-63370

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