An Approach of User Community Preference Discovery Applied in IPTV Personalized Interactive Services

While the development of converged networks has led to the rapid increasing of IPTV content and service complexity, it is more and more difficult for IPTV subscribers to find in time the media content that they desire, thus effecting the consumption of IPTV media content service. This paper proposes a user community preference discovery strategy based on ant colony clustering algorithm, and presents the system solution to satisfy users´ personalized service demands. The effectiveness of the proposed approach is verified via simulation experiments.