Recently, collaborative filtering combined with various kinds of deep learning models is .appealing to recommender systems, which have shown a strong positive effect in accuracy improvement. .However, many studies related to deep learning model rely heavily on abundant information to improve .prediction accuracy, which have stringent data requirements in addition to raw rating data. Furthermore, .most of them ignore the interaction effect between users and items when building the recommendation
