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Yongfeng Zhang
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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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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Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems

Feb 03, 2019
Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang

* to appear at the webconf 2019 
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Answer Interaction in Non-factoid Question Answering Systems

Jan 15, 2019
Chen Qu, Liu Yang, Bruce Croft, Falk Scholer, Yongfeng Zhang

* Accepted to CHIIR 2019 
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User Intent Prediction in Information-seeking Conversations

Jan 11, 2019
Chen Qu, Liu Yang, Bruce Croft, Yongfeng Zhang, Johanne R. Trippas, Minghui Qiu

* Accepted to CHIIR 2019 
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Explainable Recommendation: A Survey and New Perspectives

Sep 04, 2018
Yongfeng Zhang, Xu Chen

* 90 pages 
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Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems

May 09, 2018
Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen

* Accepted by the 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, Michigan, U.S.A. July 8-12, 2018 (Full Oral Paper) 
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Analyzing and Characterizing User Intent in Information-seeking Conversations

Apr 23, 2018
Chen Qu, Liu Yang, W. Bruce Croft, Johanne R. Trippas, Yongfeng Zhang, Minghui Qiu

* Accepted by SIGIR 2018 as a short paper 
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Boost Phrase-level Polarity Labelling with Review-level Sentiment Classification

Feb 11, 2015
Yongfeng Zhang, Min Zhang, Yiqun Liu, Shaoping Ma


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