Automated real-time recommendations for IPTV

  • Authors:
  • Emilio Bonilla;Michael Stier;Saverio Niccolini;Marcus Brunner

  • Affiliations:
  • Universitat Politècnica de Catalunya, Spain;NEC Laboratories Europe in Heidelberg, Germany;NEC Laboratories Europe in Heidelberg, Germany;NEC Laboratories Europe in Heidelberg, Germany

  • Venue:
  • ICC'09 Proceedings of the 2009 IEEE international conference on Communications
  • Year:
  • 2009

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Abstract

Nowadays IPTV offers a very wide range of multimedia content. On one side the increasing number of channels improves the chances of each viewer finding relevant content; on the other side it poses serious challenges in the navigation through the program grid. Typically, once a program has been selected, the only way to know what is being broadcasted on another one is by switching the channel. This paper proposes, discusses, and shows a prototype implementation of an innovative IPTV feature called Real-Time Meta-Data (RTMD) for automated recommendations. It provides IPTV systems with simple user-specific live event notification based on user profiles and only for subscribed channels. Event notifications can be automatically associated in the IPTV client with specific class of event reactions (e.g. channel switch) to enhance the IPTV user experience. Furthermore, rather than merely delivering channel-related information (e.g. a goal in a soccer match), this technology is also designed to provide additional services such as user-to-user or community notifications. In order to assess the feasibility of the approach, a small scale proof-of-concept prototype has been implemented. Subsequently, a validation in terms of both integration with existing standards and technical performance has been realized, fulfilling the initial expectations.