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Debiased Recommendation with Neural Stratification


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


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BARS: Towards Open Benchmarking for Recommender Systems


Jun 01, 2022
Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang

* Author's draft version. BARS benchmark available at https://openbenchmark.github.io 

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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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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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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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SimpleX: A Simple and Strong Baseline for Collaborative Filtering


Sep 26, 2021
Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He

* Accepted in CIKM 2021 

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Top-N Recommendation with Counterfactual User Preference Simulation


Sep 13, 2021
Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang


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