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Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank.
Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank.
2019
Gaurush Hiranandani
Harvineet Singh
Prakhar Gupta
Iftikhar Ahamath Burhanuddin
Zheng Wen
Branislav Kveton
Keywords:
Computer science
Machine learning
Theoretical computer science
Learning to rank
Artificial intelligence
Submodular set function
position bias
online learning
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