With the continuous improvement of algorithm technology, field news communication has also ushered in a transformation from traditional media to self-media, self-media algorithmic media, and center transmitter recipient. The recommendation mechanism can effectively meet preferences needs users, maximize cohesion between ensure that number customers will not be lost business operations. However,...

Capturing the dynamics in user preference is crucial to better predict future behaviors because preferences often drift over time. Many existing recommendation algorithms -- including both shallow and deep ones model such independently, i.e., static dynamic are not modeled under same latent space, which makes it difficult fuse them for recommendation. This paper considers problem of embedding a...