Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation.
Yong LiuYinan ZhangQiong WuChunyan MiaoLizhen CuiBinqiang ZhaoYin ZhaoLu GuanPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- state space
- collaborative filtering
- machine learning
- neural network
- recommender systems
- virtual reality
- function approximation
- temporal difference
- user preferences
- learning problems
- policy search
- transition model
- personalized recommendation
- reinforcement learning algorithms
- recommendation systems
- user friendly
- user interaction
- active learning
- multi agent
- objective function
- similarity measure
- social networks