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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

* 38 pages, 2 figures, 1 table 

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AutoLossGen: Automatic Loss Function Generation for Recommender Systems


Apr 27, 2022
Zelong Li, Jianchao Ji, Yingqiang Ge, Yongfeng Zhang

* 12 pages, 6 figures. Conference: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22) 

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Explainable Fairness in Recommendation


Apr 24, 2022
Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang


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Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)


Apr 06, 2022
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang


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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

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

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Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning


Jan 01, 2022
Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang


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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

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

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FAIR: Fairness-Aware Information Retrieval Evaluation


Jun 16, 2021
Ruoyuan Gao, Yingqiang Ge, Chirag Shah

* submitted to The Journal of the Association for Information Science and Technology 

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