A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions.
Xiaocong ChenLina YaoJulian McAuleyGuanglin ZhouXianzhi WangPublished in: CoRR (2021)
Keyphrases
- future directions
- systematic review
- recommender systems
- reinforcement learning
- empirical studies
- lessons learned
- collaborative filtering
- function approximation
- current challenges
- user preferences
- current trends
- state space
- open questions
- model free
- reinforcement learning algorithms
- matrix factorization
- current status
- learning process
- user profiling
- learning algorithm
- machine learning
- recommendation quality
- cold start problem
- information overload
- optimal policy
- temporal difference
- web intelligence
- markov decision processes
- computational intelligence
- user modeling
- recommendation algorithms
- implicit feedback
- real world
- multi agent
- product recommendation
- software product line
- user profiles
- dynamic programming