Deep reinforcement learning in recommender systems: A survey and new perspectives.
Xiaocong ChenLina YaoJulian J. McAuleyGuanglin ZhouXianzhi WangPublished in: Knowl. Based Syst. (2023)
Keyphrases
- recommender systems
- reinforcement learning
- collaborative filtering
- function approximation
- matrix factorization
- information filtering
- markov decision processes
- learning algorithm
- user profiles
- robotic control
- state space
- user preferences
- user modeling
- user profiling
- information overload
- personalized recommendation
- learning technologies
- model free
- machine learning
- user feedback
- temporal difference
- temporal difference learning
- cold start problem
- multi agent reinforcement learning
- neural network
- data sparsity
- supervised learning
- trust aware
- action selection
- markov decision process
- user model
- transfer learning
- optimal policy
- user modelling
- recommendation quality
- dynamic programming
- collaborative filtering recommender systems