Content Recommendation System in the Production of Multi-Channel TV Programs
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This paper presents the concept of content recommendations for the production of multi-channel TV shows. Within the 6th Framework project “LIVE – Live Staging of Media Events” [3] we are developing a production support system which will have a functionality of content recommendations and will support production of multi-channels programs. The paper outlines a concept of a multi-channel show and presents a possible workflow scenario on how to use content recommendations in the production. The details of the semantic content annotations are given and an example on computation of personalized recommendation of archive content is presented. No referenced Knowhow defined WP4: Staging and Content Research., WP6: Personalisation and Feedback., WP7: Intelligent Media Framework. University of Ljubljana, Salzburg Research, University of Applied Science Cologne Janez Zaletelj, Richard Wages, Stefan Gruenvogel, Tobias Buerger 2007-06-22 10:50 Request for more detail
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Copyright University of Ljubljana., Copyright University of Applied Sciences, Cologne., Copyright Salzburg Research Forschungsgesellschaft m.b.h. Patent Protection not sought. Licensing Protection not sought. Utility Model Protection not sought. The paper was submitted to the 3rd International Conference on Automated Production of Cross Media Content for Multi-channel Distribution (AxMedis 2007), www.axmedis.org/axmedis2007. Closed, attachment is not public
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