Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach.
Xiaoyu ShiQuanliang LiuHong XieDi WuBo PengMingsheng ShangDefu LianPublished in: ACM Trans. Inf. Syst. (2024)
Keyphrases
- reinforcement learning
- function approximation
- search result diversification
- recommender systems
- collaborative filtering
- machine learning
- optimal policy
- virtual reality
- novelty detection
- learning problems
- reinforcement learning algorithms
- social media
- learning classifier systems
- model free
- data mining
- user interaction
- temporal difference learning
- robotic control