Deep Matrix Factorization Models for Recommender Systems
recommendation with user-item interaction ratings, implicit feedback and auxiliary information. Ma-trix factorization is the basic idea to predict a per-sonalized ranking over a set of items for an indi-vidual user with the similarities among users and items. In this paper, we propose a novel matrix factorization model with neural network ...
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