RLIRank: Learning to Rank with Reinforcement Learning for Dynamic Search.
Jianghong ZhouEugene AgichteinPublished in: CoRR (2021)
Keyphrases
- learning to rank
- reinforcement learning
- ranking functions
- information retrieval
- query dependent
- exploration exploitation dilemma
- query suggestion
- document retrieval
- balancing exploration and exploitation
- loss function
- ranking models
- evaluation measures
- ranking svm
- relevance judgments
- evaluation metrics
- collaborative filtering
- support vector
- learning algorithm
- web search
- machine learning
- learning to rank algorithms
- learning process