An exploration of documentary film recommender systems

摘要

With the combination of technology and life increasing on the basis of the mobile platforms, a growing number of accesses to information channels were provided for the general public. Networks formed by a variety of user-centric social media became more compact, this phenomenon allows the audience more choice in terms of documentary qualities. Unlike the passive recommendations in the past, this paper borrows the market operation point of view and data mining technologies of the age of the focus media and put forward a proactive recommendation system. First, analyze the users with the need for documentaries through the dialog boxes of various social networking sites. Then, through Fuzzy Clustering Theory, surmise the user demand for Chinese documentaries, and actively recommend suitable Chinese documentaries in social networks. Finally, friends of friends by the users of social media create a system that spreads like diffusion. This paper proposes an Active Recommendation System and got satisfactory results from actual verification and analysis of satisfaction.