| Item recommendation on monotonic behavior chains M Wan, J McAuley Proceedings of the 12th ACM conference on recommender systems, 86-94, 2018 | 164 | 2018 |
| Representing and recommending shopping baskets with complementarity, compatibility and loyalty M Wan, D Wang, J Liu, P Bennett, J McAuley Proceedings of the 27th ACM International Conference on Information and …, 2018 | 87 | 2018 |
| Fine-Grained Spoiler Detection from Large-Scale Review Corpora M Wan, R Misra, N Nakashole, J McAuley Proceedings of the 57th Conference of the Association for Computational …, 2019 | 82 | 2019 |
| Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems M Wan, J McAuley Proceedings of IEEE 16th International Conference on Data Mining, 2016 | 75 | 2016 |
| Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs M Wan, D Wang, M Goldman, M Taddy, J Rao, J Liu, D Lymberopoulos, ... Proceedings of the 26th International Conference on World Wide Web, 2017 | 67 | 2017 |
| CosRec: 2D convolutional neural networks for sequential recommendation A Yan, S Cheng, WC Kang, M Wan, J McAuley Proceedings of the 28th ACM international conference on information and …, 2019 | 58 | 2019 |
| Basconv: Aggregating heterogeneous interactions for basket recommendation with graph convolutional neural network Z Liu, M Wan, S Guo, K Achan, PS Yu Proceedings of the 2020 SIAM International Conference on Data Mining, 64-72, 2020 | 53 | 2020 |
| Decomposing fit semantics for product size recommendation in metric spaces R Misra, M Wan, J McAuley Proceedings of the 12th ACM Conference on Recommender Systems, 422-426, 2018 | 45 | 2018 |
| From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach M Wan, X Chen, L Kaplan, J Han, J Gao, B Zhao Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 39 | 2016 |
| Recommendation through mixtures of heterogeneous item relationships WC Kang, M Wan, J McAuley Proceedings of the 27th ACM International Conference on Information and …, 2018 | 37 | 2018 |
| Addressing marketing bias in product recommendations M Wan, J Ni, R Misra, J McAuley Proceedings of the 13th international conference on web search and data …, 2020 | 35 | 2020 |
| Graph regularized meta-path based transductive regression in heterogeneous information network M Wan, Y Ouyang, L Kaplan, J Han Proceedings of the 2015 SIAM International Conference on Data Mining, 918-926, 2015 | 24 | 2015 |
| Learning fair node representations with graph counterfactual fairness J Ma, R Guo, M Wan, L Yang, A Zhang, J Li Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 16 | 2022 |
| One-class recommendation with asymmetric textual feedback M Wan, J McAuley Proceedings of the 2018 SIAM International Conference on Data Mining, 648-656, 2018 | 10 | 2018 |
| Learning Causal Effects on Hypergraphs J Ma, M Wan, L Yang, J Li, B Hecht, J Teevan Proceedings of the 2022 SIGKDD Conference on Knowledge Discovery and Data Mining, 2022 | 5 | 2022 |
| Beyond" How may I help you?": Assisting Customer Service Agents with Proactive Responses M Wan, X Chen The Second AAAI Workshop on Reasoning and Learning for Human-Machine …, 2019 | 1 | 2019 |
| Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates T Schnabel, M Wan, L Yang arXiv preprint arXiv:2211.06365, 2022 | | 2022 |
| RecWork: Workshop on Recommender Systems for the Future of Work JA Konstan, A Muralidharan, A Saha, S Sen, M Wan, L Yang Proceedings of the 16th ACM Conference on Recommender Systems, 675-677, 2022 | | 2022 |
Julian McAuleyProfessor, UC San DiegoVerified email at eng.ucsd.edu
