RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling

Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng. RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. In Hisashi Kashima, Tsuyoshi Idé, Wen-Chih Peng, editors, Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part III. Volume 13937 of Lecture Notes in Computer Science, pages 400-413, Springer, 2023. [doi]

Authors

Jing Wang

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Mengchen Zhao

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Wei Xia

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Zhenhua Dong

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Ruiming Tang

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Rui Zhang

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Jianye Hao

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Guangyong Chen

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Pheng-Ann Heng

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