Self-Supervised Reinforcement Learning for Recommender Systems.
Xin XinAlexandros KaratzoglouIoannis ArapakisJoemon M. JosePublished in: SIGIR (2020)
Keyphrases
- recommender systems
- reinforcement learning
- collaborative filtering
- function approximation
- trust aware
- reinforcement learning algorithms
- information filtering
- user preferences
- optimal policy
- user model
- markov decision processes
- state space
- user modeling
- transfer learning
- matrix factorization
- reinforcement learning methods
- user feedback
- information overload
- model free
- user profiling
- learning process
- machine learning
- recommendation algorithms
- user profiles
- recommendation quality
- robotic control
- dynamic programming
- neural network
- policy search
- cold start problem
- data sparsity
- recommendation systems
- action space
- real robot
- personalized recommendation
- temporal difference
- learning algorithm
- user behavior
- context aware
- multi agent
- association rules