How Jing

Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections

2019 · arXiv (Cornell University)

Network representations have been shown to improve performance within a variety of tasks, including classification, clustering, and link prediction. However, most models either focus on moderate-sized, homogeneous networks or require a significant amount of auxiliary …

Recurrent Recommender Networks

2017

Recommender systems traditionally assume that user profiles and movie attributes are static. Temporal dynamics are purely reactive, that is, they are inferred after they are observed, e.g. after a user's taste has changed or based …