| Explicit factor models for explainable recommendation based on phrase-level sentiment analysis Y Zhang, G Lai, M Zhang, Y Zhang, Y Liu, S Ma Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 951 | 2014 |
| Neural attentional rating regression with review-level explanations C Chen, M Zhang, Y Liu, S Ma Proceedings of the 2018 world wide web conference, 1583-1592, 2018 | 630 | 2018 |
| Reviewer bias in single-versus double-blind peer review A Tomkins, M Zhang, WD Heavlin Proceedings of the National Academy of Sciences 114 (48), 12708-12713, 2017 | 521 | 2017 |
| R-drop: Regularized dropout for neural networks L Wu, J Li, Y Wang, Q Meng, T Qin, W Chen, M Zhang, TY Liu Advances in Neural Information Processing Systems 34, 10890-10905, 2021 | 402 | 2021 |
| Improving the transformer translation model with document-level context J Zhang, H Luan, M Sun, F Zhai, J Xu, M Zhang, Y Liu arXiv preprint arXiv:1810.03581, 2018 | 292 | 2018 |
| How good your recommender system is? A survey on evaluations in recommendation T Silveira, M Zhang, X Lin, Y Liu, S Ma International Journal of Machine Learning and Cybernetics 10, 813-831, 2019 | 276 | 2019 |
| Optimizing dense retrieval model training with hard negatives J Zhan, J Mao, Y Liu, J Guo, M Zhang, S Ma Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 261 | 2021 |
| Jointly learning explainable rules for recommendation with knowledge graph W Ma, M Zhang, Y Cao, W Jin, C Wang, Y Liu, S Ma, X Ren The world wide web conference, 1210-1221, 2019 | 252 | 2019 |
| Detection of phishing webpages based on visual similarity L Wenyin, G Huang, L Xiaoyue, Z Min, X Deng Special interest tracks and posters of the 14th international conference on …, 2005 | 236 | 2005 |
| A survey on the fairness of recommender systems Y Wang, W Ma, M Zhang, Y Liu, S Ma ACM Transactions on Information Systems 41 (3), 1-43, 2023 | 210 | 2023 |
| Rating-boosted latent topics: Understanding users and items with ratings and reviews. Y Tan, M Zhang, Y Liu, S Ma IJCAI 16, 2640-2646, 2016 | 202 | 2016 |
| Fairness-aware group recommendation with pareto-efficiency L Xiao, Z Min, Z Yongfeng, G Zhaoquan, L Yiqun, M Shaoping Proceedings of the eleventh ACM conference on recommender systems, 107-115, 2017 | 199 | 2017 |
| Efficient neural matrix factorization without sampling for recommendation C Chen, M Zhang, Y Zhang, Y Liu, S Ma ACM Transactions on Information Systems (TOIS) 38 (2), 1-28, 2020 | 194 | 2020 |
| Discover breaking events with popular hashtags in twitter A Cui, M Zhang, Y Liu, S Ma, K Zhang Proceedings of the 21st ACM international conference on Information and …, 2012 | 155 | 2012 |
| An efficient adaptive transfer neural network for social-aware recommendation C Chen, M Zhang, C Wang, W Ma, M Li, Y Liu, S Ma Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 151 | 2019 |
| A generation model to unify topic relevance and lexicon-based sentiment for opinion retrieval M Zhang, X Ye Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 148 | 2008 |
| BERT-PLI: Modeling paragraph-level interactions for legal case retrieval. Y Shao, J Mao, Y Liu, W Ma, K Satoh, M Zhang, S Ma IJCAI, 3501-3507, 2020 | 146 | 2020 |
| Efficient heterogeneous collaborative filtering without negative sampling for recommendation C Chen, M Zhang, Y Zhang, W Ma, Y Liu, S Ma Proceedings of the AAAI conference on artificial intelligence 34 (01), 19-26, 2020 | 145 | 2020 |
| Do users rate or review? Boost phrase-level sentiment labeling with review-level sentiment classification Y Zhang, H Zhang, M Zhang, Y Liu, S Ma Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 144 | 2014 |
| Graph heterogeneous multi-relational recommendation C Chen, W Ma, M Zhang, Z Wang, X He, C Wang, Y Liu, S Ma Proceedings of the AAAI conference on artificial intelligence 35 (5), 3958-3966, 2021 | 143 | 2021 |
Weizhi MaTsinghua University在 mail.tsinghua.edu.cn 的电子邮件经过验证
