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Understanding user preference is essential to the optimization of recommender systems. As a feedback of user’s taste, the rating score can directly reflect the preference of a given user to a given product. Uncovering the latent components of user ratings is thus of significant importance for learning user interests. In this paper, a new recommendation approach was proposed by investigating the latent...
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