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Chongming Gao

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RecAD: Towards A Unified Library for Recommender Attack and Defense

Sep 09, 2023
Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He

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Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation

Jul 10, 2023
Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He

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Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation

Jun 07, 2023
Gangyi Zhang, Chongming Gao, Wenqiang Lei, Xiaojie Guo, Shijun Li, Lingfei Wu, Hongshen Chen, Zhuozhi Ding, Sulong Xu, Xiangnan He

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On the Theories Behind Hard Negative Sampling for Recommendation

Feb 19, 2023
Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He

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KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos

Aug 23, 2022
Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He

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CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System

Apr 04, 2022
Chongming Gao, Wenqiang Lei, Jiawei Chen, Shiqi Wang, Xiangnan He, Shijun Li, Biao Li, Yuan Zhang, Peng Jiang

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KuaiRec: A Fully-observed Dataset for Recommender Systems

Feb 22, 2022
Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua

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Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion

Feb 22, 2022
Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin

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Advances and Challenges in Conversational Recommender Systems: A Survey

Feb 07, 2021
Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua

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