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Personalized Transformer for Explainable Recommendation


Jun 05, 2021
Lei Li, Yongfeng Zhang, Li Chen

* Published as a conference paper at ACL-IJCNLP 2021 

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Towards Personalized Fairness based on Causal Notion


May 20, 2021
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang

* 10 pages. Accepted to ACM SIGIR 2021 

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Efficient Non-Sampling Knowledge Graph Embedding


Apr 30, 2021
Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang

* 10 pages, 3 figures. The first two authors contributed equally to the work. Accepted to WWW 2021 

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User-oriented Fairness in Recommendation


Apr 21, 2021
Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang

* Accepted to the 30th Web Conference (WWW 2021) 

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Faithfully Explainable Recommendation via Neural Logic Reasoning


Apr 16, 2021
Yaxin Zhu, Yikun Xian, Zuohui Fu, Gerard de Melo, Yongfeng Zhang

* Accepted in NAACL 2021 

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Variation Control and Evaluation for Generative SlateRecommendations


Feb 26, 2021
Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang

* 12 pages, 8 figures, to be published in WWW 2021 

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EXTRA: Explanation Ranking Datasets for Explainable Recommendation


Feb 20, 2021
Lei Li, Yongfeng Zhang, Li Chen


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Causal Collaborative Filtering


Feb 10, 2021
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang

* 14 pages, 5 figures, 3 tables 

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Learning to Explain Recommendations


Feb 01, 2021
Lei Li, Yongfeng Zhang, Li Chen


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RomeBERT: Robust Training of Multi-Exit BERT


Jan 24, 2021
Shijie Geng, Peng Gao, Zuohui Fu, Yongfeng Zhang


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Discrete Knowledge Graph Embedding based on Discrete Optimization


Jan 13, 2021
Yunqi Li, Shuyuan Xu, Bo Liu, Zuohui Fu, Shuchang Liu, Xu Chen, Yongfeng Zhang

* Accepted at the AAAI-20 Workshop on Knowledge Discovery from Unstructured Data in Financial Services 

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Towards Long-term Fairness in Recommendation


Jan 10, 2021
Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang


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Generate Natural Language Explanations for Recommendation


Jan 09, 2021
Hanxiong Chen, Xu Chen, Shaoyun Shi, Yongfeng Zhang

* Accepted to the SIGIR 2019 Workshop on ExplainAble Recommendation and Search, Paris, France, July 2019 

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COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce


Aug 21, 2020
Zuohui Fu, Yikun Xian, Yaxin Zhu, Yongfeng Zhang, Gerard de Melo


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Neural Logic Reasoning


Aug 20, 2020
Shaoyun Shi, Hanxiong Chen, Weizhi Ma, Jiaxin Mao, Min Zhang, Yongfeng Zhang

* Accepted to ACM CIKM 2020. arXiv admin note: substantial text overlap with arXiv:1910.08629 

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Learning Post-Hoc Causal Explanations for Recommendation


Jun 30, 2020
Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Yongfeng Zhang


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Fairness-Aware Explainable Recommendation over Knowledge Graphs


Jun 28, 2020
Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo


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Neural Collaborative Reasoning


Jun 11, 2020
Hanxiong Chen, Shaoyun Shi, Yunqi Li, Yongfeng Zhang

* 10 pages, 5 figures 

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IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems


Feb 03, 2020
Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen

* Accepted by WWW2020 

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Neural Logic Networks


Oct 17, 2019
Shaoyun Shi, Hanxiong Chen, Min Zhang, Yongfeng Zhang


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Reinforcement Knowledge Graph Reasoning for Explainable Recommendation


Jun 12, 2019
Yikun Xian, Zuohui Fu, S. Muthukrishnan, Gerard de Melo, Yongfeng Zhang

* Accepted in SIGIR 2019 

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Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation


May 11, 2019
Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang, Joemon Jose


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Personalized Context-aware Re-ranking for E-commerce Recommender Systems


Apr 15, 2019
Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou, Dan Pei

* 11 pages 

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