Shangsong Liang

Hierarchical Neural Variational Model for Personalized Sequential Recommendation

2019

In this paper, we study the problem of recommending personalized items to users given their sequential behaviors. Most sequential recommendation models only capture a user's short-term preference in a short session, and neglect his general …

Co-Embedding Attributed Networks

2019

Existing embedding methods for attributed networks aim at learning low-dimensional vector representations for nodes only but not for both nodes and attributes, resulting in the fact that they cannot capture the affinities between nodes and …