11 citations · 24 across the 4 of their papers we have counts for
4 papers
Recent Advances in the Foundations and Applications of Unbiased Learning to Rank
Shashank Gupta, Philipp Hager, Jin Huang +2
Since its inception, the field of unbiased learning to rank (ULTR) has remained very active and has seen several impactful advancements in recent years. This tutorial provides both…
State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study
Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya +2
Methods for reinforcement learning for recommendation (RL4Rec) are increasingly receiving attention as they can quickly adapt to user feedback. A typical RL4Rec framework consists…
BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism
Zi-Yuan Hu, Jin Huang, Zhi-Hong Deng +4
Collaborative Filtering (CF) based recommendation methods have been widely studied, which can be generally categorized into two types, i.e., representation learning-based CF method…
KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems
Wayne Xin Zhao, Gaole He, Hongjian Dou +3
To develop a knowledge-aware recommender system, a key data problem is how we can obtain rich and structured knowledge information for recommender system (RS) items. Existing datas…