| 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 | 1008 | 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 | 699 | 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 | 557 | 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 | 489 | 2021 |
| 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 | 323 | 2019 |
| 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 | 309 | 2023 |
| 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 | 304 | 2018 |
| 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 | 299 | 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 | 287 | 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 | 245 | 2005 |
| 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 | 232 | 2020 |
| 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 | 213 | 2017 |
| 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 | 212 | 2016 |
| 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 | 176 | 2020 |
| 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 | 170 | 2021 |
| Towards representation alignment and uniformity in collaborative filtering C Wang, Y Yu, W Ma, M Zhang, C Chen, Y Liu, S Ma Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 169 | 2022 |
| 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 | 169 | 2020 |
| 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 | 166 | 2019 |
| 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 | 160 | 2012 |
| Make it a chorus: knowledge-and time-aware item modeling for sequential recommendation C Wang, M Zhang, W Ma, Y Liu, S Ma Proceedings of the 43rd International ACM SIGIR conference on research and …, 2020 | 157 | 2020 |
Weizhi MaTsinghua Universitymail.tsinghua.edu.cn의 이메일 확인됨