| Enhancing explicit and implicit feature interactions via information sharing for parallel deep CTR models B Chen, Y Wang, Z Liu, R Tang, W Guo, H Zheng, W Yao, M Zhang, X He Proceedings of the 30th ACM international conference on information …, 2021 | 36 | 2021 |
| A practical incremental method to train deep ctr models Y Wang, H Guo, R Tang, Z Liu, X He arXiv preprint arXiv:2009.02147, 2020 | 28 | 2020 |
| Causalint: Causal inspired intervention for multi-scenario recommendation Y Wang, H Guo, B Chen, W Liu, Z Liu, Q Zhang, Z He, H Zheng, W Yao, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 22 | 2022 |
| Multi-task deep recommender systems: A survey Y Wang, HT Lam, Y Wong, Z Liu, X Zhao, Y Wang, B Chen, H Guo, ... arXiv preprint arXiv:2302.03525, 2023 | 21 | 2023 |
| Personalized re-ranking for improving diversity in live recommender systems Y Wang, X Zhang, Z Liu, Z Dong, X Feng, R Tang, X He arXiv preprint arXiv:2004.06390, 2020 | 11 | 2020 |
| PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations Y Wang, X Zhao, B Chen, Q Liu, H Guo, H Liu, Y Wang, R Zhang, R Tang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 10 | 2023 |
| Optimal transport for treatment effect estimation H Wang, J Fan, Z Chen, H Li, W Liu, T Liu, Q Dai, Y Wang, Z Dong, ... Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Inttower: the next generation of two-tower model for pre-ranking system X Li, B Chen, HF Guo, J Li, C Zhu, X Long, S Li, Y Wang, W Guo, L Mao, ... Proceedings of the 31st ACM International Conference on Information …, 2022 | 9 | 2022 |
| A Unified Framework for Multi-Domain CTR Prediction via Large Language Models Z Fu, X Li, C Wu, Y Wang, K Dong, X Zhao, M Zhao, H Guo, R Tang arXiv preprint arXiv:2312.10743, 2023 | 5 | 2023 |
| Hamur: Hyper adapter for multi-domain recommendation X Li, F Yan, X Zhao, Y Wang, B Chen, H Guo, R Tang Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 5 | 2023 |
| Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation J Gao, B Chen, M Zhu, X Zhao, X Li, Y Wang, Y Wang, H Guo, R Tang arXiv preprint arXiv:2309.02061, 2023 | 2 | 2023 |
| D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations P Jia, Y Wang, S Lin, X Li, X Zhao, H Guo, R Tang Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8553-8561, 2024 | 1 | 2024 |
| Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation Y Wang, Z Liu, Y Wang, X Zhao, B Chen, H Guo, R Tang Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 1 | 2024 |
| Numerical Feature Representation with Hybrid N-ary Encoding B Chen, H Guo, W Liu, Y Ding, Y Li, W Guo, Y Wang, Z He, R Tang, ... Proceedings of the 31st ACM International Conference on Information …, 2022 | 1 | 2022 |
| IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation K Zhang, Y Wang, X Li, R Tang, R Zhang Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | | 2024 |
| Joint Modeling in Recommendations: Foundations and Frontiers X Zhao, Y Wang, B Chen, P Jia, Y Wang, J Gao, H Guo, R Tang IJCAI 2023 Tutorial, 2023 | | 2023 |
Ruiming TangHuawei在 huawei.com 的电子邮件经过验证
