Collaborative filtering in dynamic networks based on deep auto-encoder

The collaborative filtering method in recommender systems can produce suggestions with good quality. However, this method suffers from the issues of cold start and data sparsity. To overcome these problems, other data sources must be used to identify users. As a source of information, social relationships between users can help solve these problems. Recommender systems, on the other hand, are set in environments where data are generated...