A Survey on Reinforcement Learning for Recommender Systems.
Yuanguo LinYong LiuFan LinPengcheng WuWenhua ZengChunyan MiaoPublished in: CoRR (2021)
Keyphrases
- recommender systems
- reinforcement learning
- collaborative filtering
- function approximation
- user profiles
- learning algorithm
- state space
- trust aware
- matrix factorization
- information overload
- machine learning
- temporal difference
- model free
- optimal policy
- learning problems
- transfer learning
- user modeling
- multi agent
- user model
- markov decision processes
- multi agent reinforcement learning
- user preferences
- search engine
- optimal control
- information filtering
- learning process
- recommendation algorithms
- temporal difference learning
- cold start problem
- autonomous learning
- personal preferences
- policy search