Advanced IPTV Services Personalization Through Context-Aware Content Recommendation

The advances in Internet Protocol Television (IPTV) technology enable new user-centric and interactive TV model, in which context-awareness is promising in making users' interaction with the TV dynamic and transparent. This paper considers user-centric personalized IPTV services applying context-awareness. We present a solution for enriched IPTV services personalization introducing context-awareness on top of IPTV architecture to gather different information on the user and his environment allowing each user to be distinguished by the system in a unique and real-time manner. Based on the different context information gathered, a novel solution for content recommendation is presented allowing to customize IPTV content according to the context of each user and his environment and hence guaranteeing better users' experience. We implemented the proposed solution on top of an IPTV platform considering the NGN IPTV architecture as a proof of concept and as a mean to evaluate the performance.