Abstract
This paper presents the concept of content recommendations for the production of multi-channel TV shows. Within the IST project "LIVE - Live Staging of Media Events" [1] 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 recommender system for the multi-channel TV production and presents basic architecture and workflows within the system. The recommendation of the archive content for a given channel is personalized by taking into account the profile of the target audience. © 2008 Springer-Verlag.
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CITATION STYLE
Zaletelj, J. (2008). Recommender system for the multi-channel TV production. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5066 LNCS, pp. 102–106). https://doi.org/10.1007/978-3-540-69478-6_11
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