Deep Reinforcement Learning for Online Advertising in Recommender Systems.
Xiangyu ZhaoChangsheng GuHaoshenglun ZhangXiaobing LiuXiwang YangJiliang TangPublished in: CoRR (2019)
Keyphrases
- online advertising
- recommender systems
- reinforcement learning
- user behavior
- collaborative filtering
- user preferences
- implicit feedback
- matrix factorization
- display advertising
- behavioral targeting
- state space
- function approximation
- advertising campaigns
- user experience
- personalized recommendation
- information overload
- cold start problem
- markov decision processes
- user profiles
- multi agent
- learning algorithm
- optimal policy
- supervised learning
- user model
- machine learning
- higher education
- recommendation algorithms
- natural language processing
- long tail
- search engine