  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.
