11 citations · 12 across the 2 of their papers we have counts for
3 papers
cs.IR2022★ 11 cited
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…
cs.IR2021★ 1 cited
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…
cs.IR2018
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…