Publications

Conference and Journal Publications

    2019

  • Dynamic Explainable Recommendation based on Neural Attentive Models
    Xu Chen, Yongfeng Zhang, Zheng Qin. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), January 27 – February 1, 2019, Hawaii, USA. [PDF]

  • 2018

  • Towards Conversational Search and Recommendation: System Ask, User Respond
    Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang, and W. Bruce Croft. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), October 22 - 26, 2018, Turin, Italy. [PDF]
  • Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
    Qingyao Ai, Vahid Azizi, Xu Chen, Yongfeng Zhang. Algorithms. 2018, 11(9). Special Issue Collaborative Filtering and Recommender Systems. [PDF]
  • Adversarial Distillation for Efficient Recommendation with External Knowledge
    Xu Chen, Yongfeng Zhang, Hongteng Xu, Zheng Qin, Hongyuan Zha. In ACM Transactions on Information Systems (TOIS). [PDF]
  • Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles
    Pengfei Wang, Ze Yang, Shu Zi, Yongfeng Zhang, Lei Zhang and Shaozhang Niu. In Proceedings of the 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), July 8 - 12, 2018, Ann Arbor, Michigan, USA. [PDF]
  • Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems
    Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, Bruce Croft, Jun Huang, Haiqing Chen. In Proceedings of the 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), July 8 - 12, 2018, Ann Arbor, Michigan, USA. [PDF]
  • Analyzing and Characterizing User Intent in Information-seeking Conversations
    Chen Qu, Liu Yang, Bruce Croft, Johanne R Trippas, Yongfeng Zhang and Minghui Qiu. In Proceedings of the 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), July 8 - 12, 2018, Ann Arbor, Michigan, USA. [PDF]
  • Sequential Recommendation with User Memory Networks
    Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, and Hongyuan Zha. In Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM 2018), February 5 - 9, 2018, Los Angeles, California, USA. [PDF]
  • SIGIR 2018 Workshop on ExplainAble Recommendation and Search (EARS 2018)
    Yongfeng Zhang, Yi Zhang, Min Zhang. In Proceedings of the 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), July 8 - 12, 2018, Ann Arbor, Michigan, USA. [PDF]
  • IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization
    Feida Zhu, Yongfeng Zhang, Neil Yorke-Smith, Guibing Guo, Xu Chen. In Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM 2018), February 5 - 9, 2018, Los Angeles, California, USA. [PDF]
  • Report on EARS'18: 1st International Workshop on ExplainAble Recommendation and Search
    Yongfeng Zhang, Yi Zhang, Min Zhang. ACM SIGIR Forum, Volume 52, Issue 2, 2018. [PDF]
  • Explainable Recommendation: A Survey and New Perspectives
    Yongfeng Zhang and Xu Chen. arXiv Preprint 2018. arXiv:1804.11192. [PDF]

  • 2017

  • Learning a Hierarchical Embedding Model for Personalized Product Search
    Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen, and W. Bruce Croft. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), August 7 - 11, 2017, Tokyo, Japan. [PDF][slides][code]
  • Personalized Key Frame Recommendation
    Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, and Zheng Qin. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), August 7 - 11, 2017, Tokyo, Japan. [PDF][slides][code]
  • Multi-Product Utility Maximization for Economic Recommendation
    Qi Zhao, Yongfeng Zhang, Yi Zhang, and Daniel Friedman. In Proceedings of the 10th International Conference on Web Search and Data Mining (WSDM 2017), February 6 - 10, 2017, Cambridge, UK. [PDF][slides][code]
  • Joint Representation Learning for Top-N Recommendation with Heterogenous Information Sources
    Yongfeng Zhang, Qingyao Ai, Xu Chen, and W. Bruce Croft. In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM 2017), November 6 - 10, 2017, Singapore. [PDF][slides][code]
  • Learning and Transferring Social and Item Visibilities for Personalized Recommendation
    Xiao Lin, Min Zhang, Yongfeng Zhang, Yiqun Liu, and Shaoping Ma. In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM 2017), November 6 - 10, 2017, Singapore. [PDF][slides]
  • Fairness-Aware Group Recommendation with Pareto Efficiency
    Xiao Lin, Min Zhang, Yongfeng Zhang, Zhaoquan Gu, Yiqun Liu, Shaoping Ma. In Proceedings of the 11th ACM Conference on Recommender Systems (RecSys 2017), August 27 - 31, 2017, Como, Italy. [PDF]
  • A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images
    Wenwen Ye, Yongfeng Zhang, Wayne Xin Zhao, Xu Chen, Zheng Qin. In Proceedings of the 13th Asia Information Retrieval Societies Conference (AIRS 2017), November 22 - 24, 2017, Jeju Island, Korea. Best Paper Award. [PDF]
  • Probabilistic Local Matrix Factorization based on User Reviews
    Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Wenwen Ye, Zheng Qin. In Proceedings of the 13th Asia Information Retrieval Societies Conference (AIRS 2017), November 22 - 24, 2017, Jeju Island, Korea. [PDF]
  • Detecting Stress Based on Social Interactions in Social Networks
    Huijie Lin, Jia Jia, Jiezhong Qiu, Yongfeng Zhang, Guangyao Shen, Lexing Xie, Jie Tang, Ling Feng, and Tat-Seng Chua. In IEEE Transactions on Knowledge and Data Engineering (TKDE), Mar 2017. [PDF]
  • Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation
    Liu Yang, Hamed Zamani, Yongfeng Zhang, Jiafeng Guo, and W. Bruce Croft. In Proceedings of the SIGIR 2017 Workshop on Neural Information Retrieval (NEUIR 2017), August 7 - 11, 2017, Tokyo, Japan. [PDF]
  • Boosting Moving Average Reversion Strategy for Online Portfolio Selection: A Meta-Learning Approach
    Xiao Lin, Min Zhang, Yongfeng Zhang, Yiqun Liu, and Shaoping Ma. In Proceedings of the 22nd International Conference on Database Systems for Advanced Applications (DASFAA 2017), March 27 - 30, 2017, Suzhou, China. [PDF][slides]
  • Disparity-Aware Group Formation for Recommendation
    Xiao Lin, Min Zhang, Yongfeng Zhang, Zhaoquan Gu. In Proceedings of the Sixteenth International Conference on Antonomous Agents and Multiagent Sytems (AAMAS 2017), May 8 - 12, 2017, Sao Paulo, Brazil. [PDF]
  • Explainable Recommendation: Theory and Applications
    Yongfeng Zhang. arXiv Preprint 2017. arXiv:1708.06409. [PDF]

  • 2016

  • Economic Recommendation with Surplus Maximization
    Yongfeng Zhang, Qi Zhao, Yi Zhang, Daniel Friedman, Min Zhang, Yiqun Liu, and Shaoping Ma. In Proceedings of the 25th International World Wide Web Conference (WWW 2016), April 11 - 15, 2016, Montreal, Canada. [PDF][slides][code]
  • Learning to Rank Features for Recommendation over Multiple Categories
    Xu Chen, Zheng Qin, Yongfeng Zhang, and Tao Xu. In Proceedings of the 39th Annual International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR 2016), July 17 - 21, 2016, Pisa, Italy. [PDF][slides]
  • HLBPR: A Hybrid Local Bayesian Personal Ranking Method
    Xu Chen, Pengfei Wang, Zheng Qin, and Yongfeng Zhang. In Proceedings of the 25th International World Wide Web Conference (WWW 2016) (poster), April 11 - 15, 2016, Montreal, Canada. [PDF][poster]

  • 2015

  • Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis
    Yongfeng Zhang, Min Zhang, Yi Zhang, Guokun Lai, Yiqun Liu, Honghui Zhang, Shaoping Ma. In Proceedings of the 24th International World Wide Web Conference (WWW 2015), May 18 - 22, 2015, Florence, Italy. [PDF][slides]
  • Catch the Black Sheep: Unified Framework for Shilling Attack Detection based on Fraudulent Action Propagation
    Yongfeng Zhang, Yunzhi Tan, Min Zhang, Yiqun Liu, Chua Tat-Seng, and Shaoping Ma. In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), July 25 - 31, 2015, Buenos Aires, Argentina. [PDF][slides]
  • Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation
    Yongfeng Zhang. In Proceedings of the 8th International Conference on Web Search and Data Mining (WSDM 2015), Feb. 2 - 6, 2015, Shanghai, China. [PDF]
  • Task-based Recommendation on a Web-Scale
    Yongfeng Zhang, Min Zhang, Yiqun Liu, Chua Tat-Seng, Yi Zhang, Shaoping Ma. In Proceedings of the 2015 IEEE International Conference on Big Data (BigData 2015), Oct 29 - Nov 1, 2015, Santa Clara, CA, USA. [PDF]
  • Exploration of Semantic-aware Approach for Contextual Suggestion Using Knowledge from The Open Web
    Yuan Wang, Yongfeng Zhang, Yi Zhang, Xintong Zhang, Jie Liu, and Yalou Huang. In Proceedings of the 24th Text REtrieval Conference (TREC 2015), Nov. 17 - 20, 2015, Gaithersburg, Maryland, USA. [PDF]
  • SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering
    Han Zhao, Pascal Poupart, Yongfeng Zhang, and Martin Lysy. In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015), Jan. 25 - 29, 2015, Austin, Texas, USA. [PDF]
  • Boost Phrase-level Polarity Labelling with Review-level Sentiment Classification
    Yongfeng Zhang, Min Zhang, Yiqun Liu and Shaoping Ma. arXiv Preprint 2015. arXiv:1502.03322. [PDF]

  • 2014

  • Explicit Factor Models for Explainable Recommendation based on Phrase-level Sentiment Analysis
    Yongfeng Zhang, Guokun Lai, Min Zhang, Yi Zhang, Yiqun Liu and Shaoping Ma. In Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR 2014), July 6 - 11, 2014, Gold Coast, Australia. [PDF][slides][code]
  • Do Users Rate or Review? Boost Phrase-level Sentiment Labeling with Review-level Sentiment Classification
    Yongfeng Zhang, Haochen Zhang, Min Zhang, Yiqun Liu and Shaoping Ma. In Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR 2014) (short paper), July 6 - 11, 2014, Gold Coast, Australia. [PDF][poster]
  • Understanding the Sparsity: Augmented Matrix Factorization with Sampled Constraints on Unobservables
    Yongfeng Zhang, Min Zhang, Yi Zhang, Yiqun Liu and Shaoping Ma. In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014), Nov. 3 - 7, 2014, Shanghai, China. [PDF][Supplementary]
  • Browser-Oriented Universal Cross-Site Recommendation and Explanation based on User Browsing Logs
    Yongfeng Zhang. In Proceedings of the 8th ACM Conference Series on Recommender Systems (RecSys 2014), Oct. 6 - 10, 2014, Foster City, Silicon Valley, USA. [PDF][slides]

  • 2013

  • Localized Matrix Factorization for Recommendation based on Matrix Block Diagonal Forms
    Yongfeng Zhang, Min Zhang, Yiqun Liu, Shaoping Ma and Shi Feng. In Proceedings of the 22nd International Conference on World Wide Web (WWW 2013), May 13 - 17, 2013, Rio de Janeiro, Brazil. [PDF][slides][code]
  • Improve Collaborative Filtering Through Bordered Block Diagonal Form Matrices
    Yongfeng Zhang, Min Zhang, Yiqun Liu and Shaoping Ma. In Proceedings of the 36th Annual International ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR 2013), July 28 - August 1, 2013, Dublin, Ireland. [PDF][slides]
  • A General Collaborative Filtering Framework based on Matrix Bordered Block Diagonal Forms
    Yongfeng Zhang, Min Zhang, Yiqun Liu and Shaoping Ma. In proceedings of the 24th ACM Conference on Hypertext and Social Media (HT 2013), May 1 - 3, 2013, Paris, France. [PDF]
  • A Unified Framework for Emotional Elements Extraction based on Finite State Matching Machine
    Yunzhi Tan, Yongfeng Zhang, Min Zhang, Yiqun Liu and Shaoping Ma. In Proceedings of the 2nd CCF Conference on Natural Language Processing and Chinese Computing (NLPCC 2013), Nov. 15 - 19, 2013, Chongqing, China. [PDF]
  • A New Criterion for Judging the Value of Knowledge Systems
    Yongfeng Zhang and Wei Dai. Journal of Literature and Art Studies (JLAS), Vol.3, No.1, 2013. [PDF]
  • Towards the Adaption to the Open Texture of Law
    Yu Li, Jing Zhang, and Yongfeng Zhang. In Proceedings of the 2013 International Conference on Complex Science Management and Education Science, Nov 23 - 24, Kunming, China, 2013. [PDF]

  • 2010

  • Investigating Characteristics of Non-click Behavior Using Query Logs
    Ting Yao, Min Zhang, Yiqun Liu, Shaoping Ma, Yongfeng Zhang, and Liyun Ru. In Proceedings of the 6th Asia Information Retrieval Societies Conference (AIRS 2010), December 1 - 3, Taipei, Taiwan. [PDF]

Book Chapters

  • Personalized Recommender Systems - Understanding the Users behind the System
    Yongfeng Zhang. In Z. Liu and A. Cui, editors, Big Data Intelligence, Publishing House of Electronics Industry, pp.130-163. ISBN: 9787121276484. [Website][Amazon]

Technical Reports

  • When AI meets the Tango: The 24th International Joint Conference on Artificial Intelligence (in Chinese)
    Yongfeng Zhang, Xin Li, Jie Tang, Min Zhang. In China Computer Federation (CCF) Communications. Volume 11, Issue 09, 2015. [PDF].
  • Review of the 24th International Conference on World Wide Web (in Chinese)
    Yongfeng Zhang, Yiqun Liu, Jie Tang. In China Computer Federation (CCF) Communications. Volume 11, Issue 07, 2015. [PDF].
  • Time Series Analysis
    Yongfeng Zhang. Technical Report in State Key Laboratory of Intelligent Technology and Systems, Tsinghua University. 2014-05-05. [slides].
  • A Suervey of Recommender Systems
    Yongfeng Zhang. Technical Report in State Key Laboratory of Intelligent Technology and Systems, Tsinghua University. 2012-04-23. [PDF][slides].

Thesis

  • Explainable Recommendation - Theory and Applications
    Yongfeng Zhang. Dissertation submitted to Tsinghua University for the degree of Doctor of Philosophy in Computer Science (Jun 2016)
    Advisors: Shaoping Ma, Min Zhang, Yiqun Liu
    2017 Chinese Association for Artificial Intelligence (CAAI) Best PhD Dissertation Award. [PDF]