Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application

@inproceedings{Hu2018ReinforcementLT,
  title={Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application},
  author={Yujing Hu and Qing Da and Anxiang Zeng and Yang Yu and Yinghui Xu},
  booktitle={KDD},
  year={2018}
}
In E-commerce platforms such as Amazon and TaoBao , ranking items in a search session is a typical multi-step decision-making problem. Learning to rank (LTR) methods have been widely applied to ranking problems. However, such methods often consider different ranking steps in a session to be independent, which conversely may be highly correlated to each other. For better utilizing the correlation between different ranking steps, in this paper, we propose to use reinforcement learning (RL) to… CONTINUE READING

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