Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank.
Gaurush HiranandaniHarvineet SinghPrakhar GuptaIftikhar Ahamath BurhanuddinZheng WenBranislav KvetonPublished in: UAI (2019)
Keyphrases
- learning to rank
- balancing exploration and exploitation
- ranking functions
- information retrieval
- loss function
- collaborative filtering
- online learning
- evaluation metrics
- evaluation measures
- direct optimization
- learning to rank algorithms
- ranking svm
- test collection
- reinforcement learning
- supervised learning
- objective function
- document retrieval
- retrieval systems
- directly optimize
- text categorization
- query dependent
- evolutionary algorithm
- pairwise