Content Recommendation System in the Production of Multi-Channel TV Programs

This paper presents the concept of content recommendations for the production of multi-channel TV shows. Within the 6 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.