A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations.
Mingsheng FuLiwei HuangAnanya RaoAthirai A. IrissappaneJie ZhangHong QuPublished in: IEEE Trans. Ind. Informatics (2023)
Keyphrases
- recommender systems
- reinforcement learning
- optimal policy
- cold start
- collaborative filtering
- user preferences
- recommendation quality
- information overload
- policy search
- state space
- user profiles
- markov decision process
- function approximation
- user model
- cold start problem
- personalized recommendation
- personal preferences
- recommendation systems
- reinforcement learning agents
- hierarchical reinforcement learning
- neural network
- continuous state
- reinforcement learning algorithms
- reward function
- user interests
- learning algorithm
- information retrieval