Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank.
Anxiang ZengHan YuHua-Lin HeYabo NiYongliang LiJingren ZhouChunyan MiaoPublished in: AAAI (2021)
Keyphrases
- learning to rank
- collaborative filtering
- recommender systems
- balancing exploration and exploitation
- ranking functions
- information retrieval
- loss function
- evaluation measures
- product recommendation
- ranking svm
- document retrieval
- user feedback
- query dependent
- direct optimization
- evaluation metrics
- retrieval systems
- directly optimize
- learning to rank algorithms
- user preferences
- web search
- machine learning
- feature selection
- reinforcement learning
- decision trees