Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems.
Lixin ZouLong XiaZhuoye DingJiaxing SongWeidong LiuDawei YinPublished in: CoRR (2019)
Keyphrases
- multi agent reinforcement learning
- user engagement
- recommender systems
- long term
- reinforcement learning
- user experience
- short term
- collaborative filtering
- multi agent
- user satisfaction
- information overload
- user preferences
- matrix factorization
- cold start problem
- information filtering
- user modeling
- recommendation quality
- trust aware
- function approximation
- data sparsity
- user profiles
- user model
- markov decision processes
- state space
- optimal control
- databases
- transfer learning
- model free
- reinforcement learning algorithms
- user profiling
- optimal policy
- cold start
- supervised learning
- user modelling
- learning process
- information retrieval
- neural network