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RLIRank: Learning to Rank with Reinforcement Learning for Dynamic Search

Jianghong Zhou, Eugene Agichtein
2020 Proceedings of The Web Conference 2020  
To address this problem, we introduce a novel reinforcement learning-based approach, RLIrank.  ...  We first build an adapted reinforcement learning framework to integrate the key components of the dynamic search.  ...  To address those problems, we propose a new method -RLIRank: Learning to Rank with Reinforcement Learning for Dynamic Search.  ... 
doi:10.1145/3366423.3380047 dblp:conf/www/ZhouA20 fatcat:hivnsj2zlbdkjcbnhttmc3gh4y