Recommendation index for DVB content using service information

Authors:
Christian Überall;Rajarajan Muttukrishnan;Veselin Rakocevic;Rudolf Jäger;Christopher Köhnen
Affiliations:
School of Engineering and Mathematical Sciences, City University of London, London, United Kingdom;School of Engineering and Mathematical Sciences, City University of London, London, United Kingdom;School of Engineering and Mathematical Sciences, City University of London, London, United Kingdom;Information Engineering - Electrical Engineering - Mechatronics, University of Applied Sciences Giessen-Friedberg, Friedberg, Germany;School of Engineering and Mathematical Sciences, City University of London, London, United Kingdom
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

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Abstract

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.