Latest News

  • [Oct. 2019] I have defended my thesis and will be joining Airbnb as a data scientist (ML/NLP) based in Seattle.
  • [Oct. 2019] Paper with Jianmo, Rishabh and Julian accepted to WSDM 2020.
  • [Aug. 2019] Paper with An, Shuo, Wang-Cheng and Julian accepted to CIKM 2019.
  • [Jul. 2019] Some media about our ACL'19 paper: UCSD News/UC News, Geek.com, TechCrunch, TechXplore, NBC Los Angeles, Gizmodo, Yahoo! News (in Chinese).
  • [May 2019] The book review datasets used in our RecSys'18 and ACL'19 paper have been updated. Detailed reviews and spoiler tags are uploaded.
  • [May 2019] Paper with Rishabh, Ndapa and Julian accepted to ACL 2019.

Research & Service

Conference Publications

  • [ WSDM 2020 ]
    Mengting Wan, Jianmo Ni, Rishabh Misra, Julian McAuley, "Addressing Marketing Bias in Product Recommendations", in Proceedings of 2020 ACM Conference on Web Search and Data Mining (WSDM'20), Houston, TX, USA, Feb. 2020.
    [ paper (coming soon) ]

  • [ CIKM 2019 ]
    An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian McAuley, "2D Convolutional Neural Networks for Sequential Recommendation", in Proceedings of 2019 ACM Conference on Information and Knowledge Management (CIKM'19), Beijing, China, Nov. 2019.
    [ paper ]

  • [ ACL 2019 ]
    Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian McAuley, "Fine-Grained Spoiler Detection from Large-Scale Review Corpora", in Proceedings of 2019 Annual Meeting of the Association for Computational Linguistics (ACL'19), Florence, Italy, Jul. 2019.
    [ paper ] [ data ] [ poster ]

  • [ CIKM 2018 ]
    Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian McAuley, "Representing and Recommending Shopping Baskets with Complementarity, Compatibility, and Loyalty", in Proceedings of 2018 ACM Conference on Information and Knowledge Management (CIKM'18), Turin, Italy, Oct. 2018.
    [ paper ] [ slides ] [ code ]

  • [ CIKM 2018 ]
    Wang-Cheng Kang, Mengting Wan, Julian McAuley, "Recommendation Through Mixtures of Heterogeneous Item Relationships", in Proceedings of 2018 ACM Conference on Information and Knowledge Management (CIKM'18), Turin, Italy, Oct. 2018.
    [ paper ] [ data/code ]

  • [ RecSys 2018 ]
    Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proceedings of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.
    [ paper ] [ slides ] [ data ] [ code ]

  • [ RecSys 2018 ]
    Rishabh Misra, Mengting Wan, Julian McAuley, "Decomposing Fit Semantics for Product Size Recommendation in Metric Spaces", in Proceedings of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.
    [ paper ] [ data ]

  • [ SDM 2018 ]
    Mengting Wan, Julian McAuley, "One-Class Recommendation With Asymmetric Textual Feedback", in Proceedings of 2018 SIAM International Conference on Data Mining (SDM'18), San Diego, CA, USA, May 2018.
    [ paper ] [ slides ]

  • [ WWW 2017 ]
    Mengting Wan, Di Wang, Matt Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian McAuley, "Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs", in Proceedings of 2017 International World Wide Web Conference (WWW'17), Perth, Australia, Apr. 2017
    [ paper ] [ slides ]

  • [ ICDM 2016 ]
    Mengting Wan, Julian McAuley, "Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems", in Proceedings of 2016 IEEE International Conference on Data Mining (ICDM'16), Barcelona, Spain, Dec. 2016
    [ paper ] [ data ] [ slides ]

  • [ KDD 2016 ]
    Mengting Wan, Xiangyu Chen, Lance Kaplan, Jiawei Han, Jing Gao, Bo Zhao, "From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach", in Proceedings of 2016 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'16), San Francisco, CA, USA, Aug. 2016
    [ paper ] [ poster ] [ code ]

  • [ SDM 2015 ]
    Mengting Wan, Yunbo Ouyang, Lance Kaplan, Jiawei Han, "Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information Network", in Proceedings of 2015 SIAM International Conference on Data Mining (SDM'15), Vancouver, Canada, Apr. 2015.
    [ paper ] [ poster ] [ supplementary material ]

Workshop Publications

  • [ DEEP-DIAL 2019 ]
    Mengting Wan, Cindy Chen, "Beyond 'How may I help you?': Assisting Customer Service Agents with Proactive Responses", AAAI Workshop on Reasoning and Learning for Human-Machine Dialogues (DEEP-DIAL'19), Honolulu, USA, Feb. 2019.
    [ paper ]

Awards & Service

  • 2017-2019 Microsoft Ph.D. Fellowship
  • Co-Organizer
    The AAAI-19 Workshop on Recommender Systems and Natural Language Processing (RecNLP 2019)
  • Program Committee Member/Invited Reviewer
    AAAI 2020; SDM 2019, 2020; AISTATS 2019, 2020; ICWSM 2019, 2020; NeurIPS 2019; ICML 2019
    IEEE Transactions on Knowledge and Data Engineering (TKDE)

Media Coverage

Miscellaneous

  • My official Chinese name: 万梦婷 (simplified) / 萬夢婷 (traditional). I was born in Yinchuan, a beautiful city in northwest China.