Automatic user preference learning for personalized electronic program guide applications

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dc.contributor.authorLim, Jko
dc.contributor.authorKang, Sko
dc.contributor.authorKim, MunChurlko
dc.date.accessioned2013-03-07T00:28:18Z-
dc.date.available2013-03-07T00:28:18Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2007-07-
dc.identifier.citationJOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, v.58, no.9, pp.1346 - 1356-
dc.identifier.issn1532-2882-
dc.identifier.urihttp://hdl.handle.net/10203/88942-
dc.description.abstractIn this article, we introduce a user preference model contained in the User Interaction Tools Clause of the MPEG-7 Multimedia Description Schemes, which is described by a UserPreferences description scheme (DS) and a UsageHistory description scheme (DS). Then we propose a user preference learning algorithm by using a Bayesian network to which weighted usage history data on multimedia consumption is taken as input. Our user preference learning algorithm adopts a dynamic learning method for learning real-time changes in a user's preferences from content consumption history data by weighting these choices in time. Finally, we address a user preference-based television program recommendation system on the basis of the user preference learning algorithm and show experimental results for a large set of realistic usage-history data of watched television programs. The experimental results suggest that our automatic user reference learning method is well suited for a personalized electronic program guide (EPG) application.-
dc.languageEnglish-
dc.publisherJOHN WILEY & SONS INC-
dc.titleAutomatic user preference learning for personalized electronic program guide applications-
dc.typeArticle-
dc.identifier.wosid000247578600010-
dc.identifier.scopusid2-s2.0-34547319682-
dc.type.rimsART-
dc.citation.volume58-
dc.citation.issue9-
dc.citation.beginningpage1346-
dc.citation.endingpage1356-
dc.citation.publicationnameJOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY-
dc.identifier.doi10.1002/asi.20577-
dc.contributor.localauthorKim, MunChurl-
dc.contributor.nonIdAuthorLim, J-
dc.contributor.nonIdAuthorKang, S-
dc.type.journalArticleArticle-
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