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Causal Inference for Recommendation: Foundations, Methods and Applications


Jan 08, 2023
Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang

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Causal Structure Learning with Recommendation System


Oct 19, 2022
Shuyuan Xu, Da Xu, Evren Korpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang

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Dynamic Causal Collaborative Filtering


Aug 23, 2022
Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang

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* In ACM CIKM 2022 

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A Survey on Trustworthy Recommender Systems


Jul 25, 2022
Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang

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Fairness in Recommendation: A Survey


Jun 01, 2022
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang

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* 38 pages, 2 figures, 1 table 

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Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning


Feb 17, 2022
Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang

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* To be published at the Web Conference 2022 (WWW 2022) 

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Deconfounded Causal Collaborative Filtering


Oct 14, 2021
Shuyuan Xu, Juntao Tan, Shelby Heinecke, Jia Li, Yongfeng Zhang

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* 9 pages, 5 figures; comments and suggestions are highly appreciated 

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Counterfactual Evaluation for Explainable AI


Sep 05, 2021
Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang

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Counterfactual Explainable Recommendation


Aug 24, 2021
Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang

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* To be published at the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021) 

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Towards Personalized Fairness based on Causal Notion


May 20, 2021
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang

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* 10 pages. Accepted to ACM SIGIR 2021 

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