Guang Yu

DropoutNet: Addressing Cold Start in Recommender Systems

2017 · Neural Information Processing Systems

Latent models have become the default choice for recommender systems due to their performance and scalability. However, research in this area has primarily focused on modeling user-item interactions, and few latent models have been developed …

Content-based Neighbor Models for Cold Start in Recommender Systems

2017

Cold start remains a prominent problem in recommender systems. While rich content information is often available for both users and items few existing models can fully exploit it for personalization. Slow progress in this area …