Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation

Xiaocong Chen, Chaoran Huang, Lina Yao +3

Interactive recommendation aims to learn from dynamic interactions between items and users to achieve responsiveness and accuracy. Reinforcement learning is inherently advantageous…