Recommendation System

[Tools] RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms, CIKM (resource)
Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang and Ji-Rong Wen.

[Tools] RecBole 2.0: Towards a More Up-to-Date Recommendation Library, CIKM (resource)
Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen and Ji-Rong Wen.

[Explainability] Measuring the "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation.
Xu Chen, Yongfeng Zhang and Ji-Rong Wen.
https://arxiv.org/pdf/2202.06466

[Explainability] Explainable Recommendation: A Survey and New Perspectives, FTinIR 2020.
Yongfeng Zhang and Xu Chen.

[Explainability] Sequential Recommendation with User Causal Behavior Discovery, ICDE 2023
Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen

[Explainability] Sequential Recommendation with User Evolving Preference Decomposition
Weiqi Shao, Xu Chen, Kun Lin, Jiashu Zhao, Long Xia, Dawei Yin
http://arxiv.org/abs/2203.16942

[Explainability] Sequential Recommendation with Decomposed Item Feature Routing, TheWebConf 2022.
Kun Lin, Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen.

[Explainability] Counterfactual Review-based Recommendation, CIKM 2021.
Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou.

[Explainability] CountER: Counterfactual Explainable Recommendation, CIKM 2021
Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang.

[Explainability] Causally Attentive Collaborative Filtering, CIKM 2021 (short).
Jingsen Zhang, Xu Chen, Wayne Xin Zhao.

[Explainability] CAFE: Coarse-to-Fine Knowledge Graph Reasoning for Recommendation, CIKM 2020.
Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan and Yongfeng Zhang.

[Explainability] Generating Natural Language Explanations for Recommendation, SIGIR 2019 (workshop)
Hanxiong Chen, Xu Chen, Shaoyun Shi and Yongfeng Zhang.

[Explainability] Personalized Fashion Recommendation with Visual Explanations, SIGIR 2019.
Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin and Hongyuan Zha.

[Explainability] Dynamic News Recommendation with Hierarchical Attention Network, ICDM 2019 (short).
Hui Zhang, Xu Chen and Shuai Ma.

[Explainability] Dynamic Explainable Recommendation based on Neural Attentive Models, AAAI 2019.
Xu Chen, Yongfeng Zhang, Zheng Qin.

[Explainability] Learning to Rank Features for Recommendation over Multiple Categories, SIGIR 2016.
Xu Chen, Yongfeng Zhang, Tao Xu, and Zheng Qin.

[Explainability] An Explainable Probabilistic Local MF by Leveraging User Reviews, AIRS 2017.
Xu Chen, Yongfeng Zhang, Xin Zhao, Wenwen Ye and Zheng Qin.

[Fairness] Debiased Recommendation with User Feature Balancing
Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen
https://arxiv.org/abs/2201.06056

[Fairness] Unbiased Sequential Recommendation with Latent Confounders, TheWebConf 2022.
Zhenglei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen, Ji-Rong Wen.

[Cold Start] Generative Session-based Recommendation, TheWebConf 2022.
Zhidan Wang, Wenwen Ye, Xu Chen, Wenqiang Zhang, Zhenlei Wang, Lixin Zou, Weidong Liu.

[Cold Start] Counterfactual Data-Augmented Sequential Recommendation, SIGIR 2021
Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen.

[Cold Start] Adversarial Distillation for Efficient Recommendation with External Knowledge, TOIS 2019.
Xu Chen, Yongfeng Zhang, Honteng Xu, Zheng Qin and Hongyuan Zha.

Reinforcement Learning

[Continuous-Time] Inhomogeneous Deep Q-Network, Artificial Intelligence (AIJ) 2022
Xu Chen, Jun Wang.

[Multi-Agent] Learning Communication Topology in Multi-Agent Reinforcement learning, AAMAS 2021.
Yali Du, Zhicheng Ren, Bo Liu, Ziqi Liu, Vincent Moens, Jun Wang, Xu Chen and Haifeng Zhang.

[Multi-Agent] Learning to Identify Top Elo Ratings: A Dueling Bandits Approach, AAAI 2022.
Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen.

[Multi-Agent] Estimating alpha-Rank from A Few Entries with Low Rank Matrix Completion, ICML 2021.
Yali Du, Xue Yan, Xu Chen, Haifeng Zhang, Jun Wang.

[Application] Reinforcement Recommendation with User Multi-aspect Preference, TheWebConf 2021.
Xu Chen, Yali Du, Long Xia, Jun Wang.

[Application] Sequential Recommendation with Decomposed Item Feature Routing, TheWebConf 2022.
Kun Lin, Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen.

Causal Inference

[Application] Dually Enhanced Propensity Score Estimation in Sequential Recommendation, CIKM 2022.
Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong and Ji-Rong Wen.

[Application] Sequential Recommendation with User Causal Behavior Discovery, ICDE 2023
Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen.

[Application] Debiased Recommendation with User Feature Balancing
Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen
https://arxiv.org/abs/2201.06056

[Application] Causal Collaborative Filtering
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
https://arxiv.org/abs/2102.01868

[Application] Unbiased Sequential Recommendation with Latent Confounders, TheWebConf 2022.
Zhenglei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen, Ji-Rong Wen.

[Application] Counterfactual Review-based Recommendation, CIKM 2021.
Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou.

[Application] CountER: Counterfactual Explainable Recommendation, CIKM 2021
Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang.

[Application] Causally Attentive Collaborative Filtering, CIKM 2021 (short).
Jingsen Zhang, Xu Chen, Wayne Xin Zhao.

[Application] Counterfactual Data-Augmented Sequential Recommendation, SIGIR 2021
Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen.