Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning.
Xiangyu ZhaoLiang ZhangZhuoye DingLong XiaJiliang TangDawei YinPublished in: CoRR (2018)
Keyphrases
- pairwise
- negative feedback
- reinforcement learning
- positive feedback
- relevance feedback
- recommender systems
- negative samples
- function approximation
- markov random field
- reinforcement learning algorithms
- state space
- pairwise interactions
- model free
- positive and negative feedback
- imitation learning
- collaborative filtering
- similarity measure
- machine learning
- markov decision processes
- semi supervised
- temporal difference
- dynamic programming
- learning process
- user preferences
- optimal policy
- multi agent
- conceptual framework
- supervised learning
- reinforcement learning methods
- information retrieval
- data mining