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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...
With the rapidly increasing implementation and popularity of broadband new media platforms in recent years, the effective personalized content service model has become a key issue in the establishment and development of New Media. In this paper we propose a user preference clustering framework for the customization of content service in broadband new media platforms, i.e. IPTV, digital TV, video portals...
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