| 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 | 669 | 2018 |
| 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 | 226 | 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 | 164 | 2019 |
| 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 | 161 | 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 | 160 | 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 | 151 | 2022 |
| Social attentional memory network: Modeling aspect-and friend-level differences in recommendation C Chen, M Zhang, Y Liu, S Ma Proceedings of the twelfth ACM international conference on web search and …, 2019 | 143 | 2019 |
| Recommendation unlearning C Chen, F Sun, M Zhang, B Ding Proceedings of the ACM Web Conference 2022, 2768-2777, 2022 | 106 | 2022 |
| Sequential recommendation with multiple contrast signals C Wang, W Ma, C Chen, M Zhang, Y Liu, S Ma ACM Transactions on Information Systems 41 (1), 1-27, 2023 | 83 | 2023 |
| Jointly non-sampling learning for knowledge graph enhanced recommendation C Chen, M Zhang, W Ma, Y Liu, S Ma Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 81 | 2020 |
| A bi-step grounding paradigm for large language models in recommendation systems K Bao, J Zhang, W Wang, Y Zhang, Z Yang, Y Luo, C Chen, F Feng, ... arXiv preprint arXiv:2308.08434, 2023 | 63 | 2023 |
| SAILER: structure-aware pre-trained language model for legal case retrieval H Li, Q Ai, J Chen, Q Dong, Y Wu, Y Liu, C Chen, Q Tian Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 60 | 2023 |
| Toward dynamic user intention: Temporal evolutionary effects of item relations in sequential recommendation C Wang, W Ma, M Zhang, C Chen, Y Liu, S Ma ACM Transactions on Information Systems (TOIS) 39 (2), 1-33, 2020 | 52 | 2020 |
| Efficient non-sampling factorization machines for optimal context-aware recommendation C Chen, M Zhang, W Ma, Y Liu, S Ma Proceedings of the web conference 2020, 2400-2410, 2020 | 50 | 2020 |
| E4srec: An elegant effective efficient extensible solution of large language models for sequential recommendation X Li, C Chen, X Zhao, Y Zhang, C Xing arXiv preprint arXiv:2312.02443, 2023 | 46 | 2023 |
| Efficient non-sampling knowledge graph embedding Z Li, J Ji, Z Fu, Y Ge, S Xu, C Chen, Y Zhang Proceedings of the Web Conference 2021, 1727-1736, 2021 | 46 | 2021 |
| TGNN: A joint semi-supervised framework for graph-level classification W Ju, X Luo, M Qu, Y Wang, C Chen, M Deng, XS Hua, M Zhang arXiv preprint arXiv:2304.11688, 2023 | 39 | 2023 |
| Revisiting negative sampling vs. non-sampling in implicit recommendation C Chen, W Ma, M Zhang, C Wang, Y Liu, S Ma ACM Transactions on Information Systems 41 (1), 1-25, 2023 | 35 | 2023 |
| Towards ubiquitous personalized music recommendation with smart bracelets J Li, Z He, Y Cui, C Wang, C Chen, C Yu, M Zhang, Y Liu, S Ma Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022 | 18 | 2022 |
| Missing data modeling with user activity and item popularity in recommendation C Chen, M Zhang, Y Liu, S Ma Information Retrieval Technology: 14th Asia Information Retrieval Societies …, 2018 | 16 | 2018 |
Min ZhangProfessor, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
