12 citations · 15 across the 2 of their papers we have counts for
2 papers
cs.IR2020★ 12 cited
A Light Heterogeneous Graph Collaborative Filtering Model using Textual Information
Chaoyang Wang, Zhiqiang Guo, Guohui Li +3
Due to the development of graph neural networks, graph-based representation learning methods have made great progress in recommender systems. However, data sparsity is still a chal…
cs.IR2020★ 3 cited
A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation
Chaoyang Wang, Zhiqiang Guo, Jianjun Li +2
Due to its nature of learning from dynamic interactions and planning for long-run performance, reinforcement learning (RL) recently has received much attention in interactive recom…