Establishing user profiles in the mediascout recommender system

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

    7 Scopus citations

    Abstract

    The MediaScout system is envisioned to function as personalized media (audio, video, print) service within mobile phones, online media portals, sling boxes, etc. The MediaScout recommender engine uses a novel stereotype-based recommendation engine. Upon the registration of new users the system must decide how to classify the new users to existing stereotypes. In this paper we present a method to achieve this classification through an anytime, interactive questionnaire, created automatically upon the generation of new stereotypes. A comparative study performed on the IMDB database illustrates the advantages of the new system.

    Original languageEnglish
    Title of host publicationProceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007
    PublisherInstitute of Electrical and Electronics Engineers
    Pages470-476
    Number of pages7
    ISBN (Print)1424407052, 9781424407057
    DOIs
    StatePublished - 1 Jan 2007
    Event1st IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007, Part of the 2007 IEEE Symposium Series on Computational Intelligence, SSCI 2007 - Honolulu, HI, United States
    Duration: 1 Apr 20075 Apr 2007

    Publication series

    NameProceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007

    Conference

    Conference1st IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007, Part of the 2007 IEEE Symposium Series on Computational Intelligence, SSCI 2007
    Country/TerritoryUnited States
    CityHonolulu, HI
    Period1/04/075/04/07

    ASJC Scopus subject areas

    • Information Systems
    • Signal Processing
    • Software
    • Theoretical Computer Science

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