Concerning the issue of traditional prediction model, this paper proposes a Deep Belief Networks(DBNs)based approach to predict the popularity of online videos. By modeling users' attention with the information extracted from social network and search engine, it studies its feature selection method and the optimization of DBN's parameters. Based on the data collected from one large-scale online video service provider, it implements experiments to evaluate the proposed approaches. The results show that DBN-b...
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