74 citations · 97 across the 2 of their papers we have counts for
2 papers
cs.SI2019★ 23 cited
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
Jiaxuan You, Yichen Wang, Aditya Pal +3
Recommender systems that can learn from cross-session data to dynamically predict the next item a user will choose are crucial for online platforms. However, existing approaches of…
cs.LG2016★ 74 cited
Deep Coevolutionary Network: Embedding User and Item Features for Recommendation
Hanjun Dai, Yichen Wang, Rakshit Trivedi +1
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…