Paper

Deep Coevolutionary Network: Embedding User and Item Features for Recommendation

Recommender systems often use latent features to explain the behaviors of users and capture the properties of items. As users interact with different items over time, user and item features can influence each other, evolve and co-evolve over time... (read more)

Results in Papers With Code
(↓ scroll down to see all results)