Yingqiang Ge
2023
Counterfactual Collaborative Reasoning
Jianchao Ji
|
Zelong Li
|
Shuyuan Xu
|
Max Xiong
|
Juntao Tan
|
Yingqiang Ge
|
Hao Wang
|
Yongfeng Zhang
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023
2022
FAIR: Fairness-aware information retrieval evaluation
Ruoyuan Gao
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Yingqiang Ge
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Chirag Shah
2022 Volume 73 Issue 10
Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning
Yingqiang Ge
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Xiaoting Zhao
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Lucia Yu
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Saurabh Paul
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Diane Hu
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Chu-Cheng Hsieh
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Yongfeng Zhang
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
AutoLossGen: Automatic Loss Function Generation for Recommender Systems
Zelong Li
|
Jianchao Ji
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Yingqiang Ge
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Yongfeng Zhang
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
Explainable Fairness in Recommendation
Yingqiang Ge
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Juntao Tan
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Yan Zhu
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Yinglong Xia
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Jiebo Luo
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Shuchang Liu
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Zuohui Fu
|
Shijie Geng
|
Zelong Li
|
Yongfeng Zhang
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning
Juntao Tan
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Shijie Geng
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Zuohui Fu
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Yingqiang Ge
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Shuyuan Xu
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Yunqi Li
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Yongfeng Zhang
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
Path Language Modeling over Knowledge Graphsfor Explainable Recommendation
Shijie Geng
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Zuohui Fu
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Juntao Tan
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Yingqiang Ge
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Gerard de Melo
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Yongfeng Zhang
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
2021
Towards Long-term Fairness in Recommendation
Yingqiang Ge
|
Shuchang Liu
|
Ruoyuan Gao
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Yikun Xian
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Yunqi Li
|
Xiangyu Zhao
|
Changhua Pei
|
Fei Sun
|
Junfeng Ge
|
Wenwu Ou
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Yongfeng Zhang
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021
Tutorial on Fairness of Machine Learning in Recommender Systems
Yunqi Li
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Yingqiang Ge
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Yongfeng Zhang
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
Towards Personalized Fairness based on Causal Notion
Yunqi Li
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Hanxiong Chen
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Shuyuan Xu
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Yingqiang Ge
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Yongfeng Zhang
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems
Yunqi Li
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Yingqiang Ge
|
Yongfeng Zhang
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
Counterfactual Explainable Recommendation
Juntao Tan
|
Shuyuan Xu
|
Yingqiang Ge
|
Yunqi Li
|
Xu Chen
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Yongfeng Zhang
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
Efficient Non-Sampling Knowledge Graph Embedding
Zelong Li
|
Jianchao Ji
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Zuohui Fu
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Yingqiang Ge
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Shuyuan Xu
|
Chong Chen
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Yongfeng Zhang
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021
User-oriented Fairness in Recommendation
Yunqi Li
|
Hanxiong Chen
|
Zuohui Fu
|
Yingqiang Ge
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Yongfeng Zhang
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021
Variation Control and Evaluation for Generative Slate Recommendations
Shuchang Liu
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Fei Sun
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Yingqiang Ge
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Changhua Pei
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Yongfeng Zhang
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021
2020
Understanding Echo Chambers in E-commerce Recommender Systems
Yingqiang Ge
|
Shuya Zhao
|
Honglu Zhou
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Changhua Pei
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Fei Sun
|
Wenwu Ou
|
Yongfeng Zhang
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
Learning Personalized Risk Preferences for Recommendation
Yingqiang Ge
|
Shuyuan Xu
|
Shuchang Liu
|
Zuohui Fu
|
Fei Sun
|
Yongfeng Zhang
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs
Zuohui Fu
|
Yikun Xian
|
Ruoyuan Gao
|
Jieyu Zhao
|
Qiaoying Huang
|
Yingqiang Ge
|
Shuyuan Xu
|
Shijie Geng
|
Chirag Shah
|
Yongfeng Zhang
|
Gerard de Melo
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation
Yikun Xian
|
Zuohui Fu
|
Handong Zhao
|
Yingqiang Ge
|
Xu Chen
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Qiaoying Huang
|
Shijie Geng
|
Zhou Qin
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Gerard de Melo
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S. Muthukrishnan
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Yongfeng Zhang
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
2019
Maximizing Marginal Utility per Dollar for Economic Recommendation
Yingqiang Ge
|
Shuyuan Xu
|
Shuchang Liu
|
Shijie Geng
|
Zuohui Fu
|
Yongfeng Zhang
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019
Co-authors
- Yongfeng Zhang 19
- Zuohui Fu 9
- Shuyuan Xu 8
- Yunqi Li 7
- Shijie Geng 6
- show all...
- Shuchang Liu 5
- Juntao Tan 5
- Fei Sun 4
- Zelong Li 4
- Changhua Pei 3
- Jianchao Ji 3
- Gerard de Melo 3
- Yikun Xian 3
- Ruoyuan Gao 3
- Hanxiong Chen 2
- Xu Chen 2
- Qiaoying Huang 2
- Chirag Shah 2
- Wenwu Ou 2
- Chong Chen 1
- Zhou Qin 1
- S. Muthukrishnan 1
- Handong Zhao 1
- Jieyu Zhao 1
- Honglu Zhou 1
- Shuya Zhao 1
- Yan Zhu 1
- Jiebo Luo 1
- Yinglong Xia 1
- Hao Wang 1
- Max Xiong 1
- Xiangyu Zhao 1
- Junfeng Ge 1
- Diane Hu 1
- Xiaoting Zhao 1
- Chu-Cheng Hsieh 1
- Lucia Yu 1
- Saurabh Paul 1