A Distributional Representation Model For Collaborative Filtering

02/14/2015

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by   Zhang Junlin, et al.

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In this paper, we propose a very concise deep learning approach for collaborative filtering that jointly models distributional representation for users and items. The proposed framework obtains better performance when compared against current state-of-art algorithms and that made the distributional representation model a promising direction for further research in the collaborative filtering.