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A Brief History of Recommender Systems


Sep 05, 2022
Zhenhua Dong, Zhe Wang, Jun Xu, Ruiming Tang, Jirong Wen

* DLP-KDD 2022 

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Debiased Recommendation with Neural Stratification


Aug 15, 2022
Quanyu Dai, Zhenhua Dong, Xu Chen


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Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction


Jul 09, 2022
Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen

* to be published in SIGIR 2022 

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ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems


Apr 24, 2022
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang

* Accepted by SIGIR 2022 

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Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition


Apr 02, 2022
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen


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Sequential Recommendation with Causal Behavior Discovery


Apr 01, 2022
Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen

* causal discovery for sequential recommendation 

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How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis


Mar 31, 2022
Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu

* Accepted at Findings of ACL 2022 

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A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems


Feb 23, 2022
Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, Yuhao Deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou

* 10 pages, 6 figures, 4 tables 

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Causal Analysis Framework for Recommendation


Jan 18, 2022
Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou


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Debiased Recommendation with User Feature Balancing


Jan 16, 2022
Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen


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