Recommendation index for DVB content using Service information

This paper presents algorithms and techniques to generate recommendations for DVB content. The developed recommendation engine uses metadata which are delivered by the DVB transport stream, the Service Information. The creation of user profiles, which contains the preferences of an individual user, is described. Personalization strategies, to filter the interesting contents for each user, will be shown. Furthermore new developed and firstly presented algorithms to generate recommendations for DVB content are listed and described. A PPG (Personal Program Guide), which has been developed to visualize the recommendations is shown, too. Several tests show the usefulness of the developed recommendation scheme.