"Representation learning"

Hybrid Neural Recommendation with Joint Deep Representation Learning of Ratings and Reviews

Rating-based methods (e.g., collaborative filtering) in recommendation can explicitly model users and items from their rating patterns, nevertheless suffer from the natural data sparsity problem. In other hand, user-generated reviews can provide rich …

Deep Mutual Encode Model for Network Embedding from Structural Identity

Network Embedding (NE) is one of the most popular learning methods in complex networks. It aims at learning the low-dimensional representations of nodes in networks and has been applied in a variety of network analytic tasks. Most existing methods of …