Guang-Neng Hu

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Recommender systems (RSs) provide an effective way of alleviating the information overload problem by selecting personalized choices. Online social networks and user-generated content provide diverse sources for recommendation beyond ratings , which present opportunities as well as challenges for traditional RSs. Although social matrix factorization (Social(More)
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