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.