Self-Supervised Reinforcement Learning for Recommender Systems.
Xin XinAlexandros KaratzoglouIoannis ArapakisJoemon M. JosePublished in: CoRR (2020)
Keyphrases
- recommender systems
- reinforcement learning
- collaborative filtering
- function approximation
- user preferences
- model free
- matrix factorization
- transfer learning
- reinforcement learning algorithms
- user modeling
- learning process
- markov decision processes
- multi agent
- information filtering
- trust aware
- temporal difference
- machine learning
- information overload
- learning algorithm
- robotic control
- dynamic programming
- state space
- cold start
- product recommendation
- markov decision process
- user interests
- personalized recommendation
- user profiles
- action selection
- user profiling
- data sets
- cold start problem
- user model
- user context
- content based filtering
- optimal policy
- compound critiques