Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Yongfeng Zhang

Yongfeng Zhang

Personalized Transformer for Explainable Recommendation


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

Figure 1 for Personalized Transformer for Explainable Recommendation
Figure 2 for Personalized Transformer for Explainable Recommendation
Figure 3 for Personalized Transformer for Explainable Recommendation
Figure 4 for Personalized Transformer for Explainable Recommendation
* Published as a conference paper at ACL-IJCNLP 2021 
  Access Paper or Ask Questions

Towards Personalized Fairness based on Causal Notion


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

Figure 1 for Towards Personalized Fairness based on Causal Notion
Figure 2 for Towards Personalized Fairness based on Causal Notion
Figure 3 for Towards Personalized Fairness based on Causal Notion
Figure 4 for Towards Personalized Fairness based on Causal Notion
* 10 pages. Accepted to ACM SIGIR 2021 
  Access Paper or Ask Questions

Efficient Non-Sampling Knowledge Graph Embedding


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

Figure 1 for Efficient Non-Sampling Knowledge Graph Embedding
Figure 2 for Efficient Non-Sampling Knowledge Graph Embedding
Figure 3 for Efficient Non-Sampling Knowledge Graph Embedding
Figure 4 for Efficient Non-Sampling Knowledge Graph Embedding
* 10 pages, 3 figures. The first two authors contributed equally to the work. Accepted to WWW 2021 
  Access Paper or Ask Questions

User-oriented Fairness in Recommendation


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

Figure 1 for User-oriented Fairness in Recommendation
Figure 2 for User-oriented Fairness in Recommendation
Figure 3 for User-oriented Fairness in Recommendation
Figure 4 for User-oriented Fairness in Recommendation
* Accepted to the 30th Web Conference (WWW 2021) 
  Access Paper or Ask Questions

Faithfully Explainable Recommendation via Neural Logic Reasoning


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

Figure 1 for Faithfully Explainable Recommendation via Neural Logic Reasoning
Figure 2 for Faithfully Explainable Recommendation via Neural Logic Reasoning
Figure 3 for Faithfully Explainable Recommendation via Neural Logic Reasoning
Figure 4 for Faithfully Explainable Recommendation via Neural Logic Reasoning
* Accepted in NAACL 2021 
  Access Paper or Ask Questions

Variation Control and Evaluation for Generative SlateRecommendations


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

Figure 1 for Variation Control and Evaluation for Generative SlateRecommendations
Figure 2 for Variation Control and Evaluation for Generative SlateRecommendations
Figure 3 for Variation Control and Evaluation for Generative SlateRecommendations
Figure 4 for Variation Control and Evaluation for Generative SlateRecommendations
* 12 pages, 8 figures, to be published in WWW 2021 
  Access Paper or Ask Questions

EXTRA: Explanation Ranking Datasets for Explainable Recommendation


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

Figure 1 for EXTRA: Explanation Ranking Datasets for Explainable Recommendation
Figure 2 for EXTRA: Explanation Ranking Datasets for Explainable Recommendation
Figure 3 for EXTRA: Explanation Ranking Datasets for Explainable Recommendation
Figure 4 for EXTRA: Explanation Ranking Datasets for Explainable Recommendation

  Access Paper or Ask Questions

Causal Collaborative Filtering


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

Figure 1 for Causal Collaborative Filtering
Figure 2 for Causal Collaborative Filtering
Figure 3 for Causal Collaborative Filtering
Figure 4 for Causal Collaborative Filtering
* 14 pages, 5 figures, 3 tables 
  Access Paper or Ask Questions

Learning to Explain Recommendations


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

Figure 1 for Learning to Explain Recommendations
Figure 2 for Learning to Explain Recommendations
Figure 3 for Learning to Explain Recommendations
Figure 4 for Learning to Explain Recommendations

  Access Paper or Ask Questions

RomeBERT: Robust Training of Multi-Exit BERT


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

Figure 1 for RomeBERT: Robust Training of Multi-Exit BERT
Figure 2 for RomeBERT: Robust Training of Multi-Exit BERT
Figure 3 for RomeBERT: Robust Training of Multi-Exit BERT
Figure 4 for RomeBERT: Robust Training of Multi-Exit BERT

  Access Paper or Ask Questions

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

Figure 1 for Discrete Knowledge Graph Embedding based on Discrete Optimization
Figure 2 for Discrete Knowledge Graph Embedding based on Discrete Optimization
* Accepted at the AAAI-20 Workshop on Knowledge Discovery from Unstructured Data in Financial Services 
  Access Paper or Ask Questions

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

Figure 1 for Towards Long-term Fairness in Recommendation
Figure 2 for Towards Long-term Fairness in Recommendation
Figure 3 for Towards Long-term Fairness in Recommendation
Figure 4 for Towards Long-term Fairness in Recommendation

  Access Paper or Ask Questions

Generate Natural Language Explanations for Recommendation


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

Figure 1 for Generate Natural Language Explanations for Recommendation
Figure 2 for Generate Natural Language Explanations for Recommendation
Figure 3 for Generate Natural Language Explanations for Recommendation
Figure 4 for Generate Natural Language Explanations for Recommendation
* Accepted to the SIGIR 2019 Workshop on ExplainAble Recommendation and Search, Paris, France, July 2019 
  Access Paper or Ask Questions

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

Figure 1 for COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce
Figure 2 for COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce
Figure 3 for COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce
Figure 4 for COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce

  Access Paper or Ask Questions

Neural Logic Reasoning


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

Figure 1 for Neural Logic Reasoning
Figure 2 for Neural Logic Reasoning
Figure 3 for Neural Logic Reasoning
Figure 4 for Neural Logic Reasoning
* Accepted to ACM CIKM 2020. arXiv admin note: substantial text overlap with arXiv:1910.08629 
  Access Paper or Ask Questions

Learning Post-Hoc Causal Explanations for Recommendation


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

Figure 1 for Learning Post-Hoc Causal Explanations for Recommendation
Figure 2 for Learning Post-Hoc Causal Explanations for Recommendation
Figure 3 for Learning Post-Hoc Causal Explanations for Recommendation
Figure 4 for Learning Post-Hoc Causal Explanations for Recommendation

  Access Paper or Ask Questions

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

Figure 1 for Fairness-Aware Explainable Recommendation over Knowledge Graphs
Figure 2 for Fairness-Aware Explainable Recommendation over Knowledge Graphs
Figure 3 for Fairness-Aware Explainable Recommendation over Knowledge Graphs
Figure 4 for Fairness-Aware Explainable Recommendation over Knowledge Graphs

  Access Paper or Ask Questions

Neural Collaborative Reasoning


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

Figure 1 for Neural Collaborative Reasoning
Figure 2 for Neural Collaborative Reasoning
Figure 3 for Neural Collaborative Reasoning
Figure 4 for Neural Collaborative Reasoning
* 10 pages, 5 figures 
  Access Paper or Ask Questions

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

Figure 1 for IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems
Figure 2 for IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems
Figure 3 for IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems
Figure 4 for IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems
* Accepted by WWW2020 
  Access Paper or Ask Questions

Neural Logic Networks


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

Figure 1 for Neural Logic Networks
Figure 2 for Neural Logic Networks
Figure 3 for Neural Logic Networks
Figure 4 for Neural Logic Networks

  Access Paper or Ask Questions

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation


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

Figure 1 for Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Figure 2 for Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Figure 3 for Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Figure 4 for Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
* Accepted in SIGIR 2019 
  Access Paper or Ask Questions

Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation


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

Figure 1 for Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation
Figure 2 for Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation
Figure 3 for Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation
Figure 4 for Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation

  Access Paper or Ask Questions

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

Figure 1 for Personalized Context-aware Re-ranking for E-commerce Recommender Systems
Figure 2 for Personalized Context-aware Re-ranking for E-commerce Recommender Systems
Figure 3 for Personalized Context-aware Re-ranking for E-commerce Recommender Systems
Figure 4 for Personalized Context-aware Re-ranking for E-commerce Recommender Systems
* 11 pages 
  Access Paper or Ask Questions