Predicting future User Behaviour in interactive live TV (EuroITV 2008 Paper)
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Recommender systems are a means of personalisation providing their users with personalised recommendations of items that would possibly suit the users needs. They are used in a broad area of contexts where items are somehow linked to users. The creation of recommendations of interactive live TV suffers from several inherent problems, e.g. the impossibility to foresee the contents of the next items or the reactions of the user to the changing programme. This paper proposes an algorithm for building personalised streams within interactive live TV. The development of the algorithm comprises a basic model for users and media items. A first preliminary evaluation of the alogithm is executed and the results discussed. In M. Tscheligi, M.Obrsit, and A. Lugmayr (Eds.): EuroITV 2008, LNCS 4066, pp.117-121, 2008, Springer-Verlag, Berlin No referenced Knowhow defined WP4: Staging and Content Research. University of Applied Science Cologne, Pixelpark AG Andreas Puetz, Martin Gude, Stefan Gruenvogel 2009-09-30 04:37 Request for more detail
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Copyright University of Applied Sciences, Cologne. Patent Protection not sought. Licensing Protection not sought. Utility Model Protection not sought. Closed, attachment is not public
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