DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems.
Xiangyu ZhaoChangsheng GuHaoshenglun ZhangXiwang YangXiaobing LiuJiliang TangHui LiuPublished in: AAAI (2021)
Keyphrases
- online advertising
- recommender systems
- reinforcement learning
- user behavior
- collaborative filtering
- user preferences
- function approximation
- display advertising
- behavioral targeting
- implicit feedback
- matrix factorization
- information overload
- state space
- user experience
- transfer learning
- advertising campaigns
- learning algorithm
- user model
- machine learning
- contextual advertising
- product recommendation
- multi agent
- user profiles
- cold start problem
- long tail
- personalized recommendation
- internet advertising
- recommendation algorithms