| 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 | 62 | 2021 |
| 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, 5404-5418, 2023 | 51 | 2023 |
| 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 | 40 | 2023 |
| 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 | 40 | 2022 |
| 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 | 36 | 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 | 27 | 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 | 26 | 2023 |
| 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 ACM Transactions on Information Systems, 2023 | 22 | 2023 |
| 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 | 17 | 2022 |
| 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 | 13 | 2020 |
| Llm-enhanced reranking in recommender systems J Gao, B Chen, X Zhao, W Liu, X Li, Y Wang, Z Zhang, W Wang, Y Ye, ... arXiv preprint arXiv:2406.12433, 2024 | 11 | 2024 |
| Llm4msr: An llm-enhanced paradigm for multi-scenario recommendation Y Wang, Y Wang, Z Fu, X Li, W Wang, Y Ye, X Zhao, H Guo, R Tang Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 9 | 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 | 9 | 2024 |
| Erase: Benchmarking feature selection methods for deep recommender systems P Jia, Y Wang, Z Du, X Zhao, Y Wang, B Chen, W Wang, H Guo, R Tang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 7 | 2024 |
| 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 | 6 | 2024 |
| 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 | 5 | 2024 |
| Tired of plugins? large language models can be end-to-end recommenders W Zhang, X Li, Y Wang, K Dong, Y Wang, X Dai, X Zhao, H Guo, R Tang arXiv e-prints, arXiv: 2404.00702, 2024 | 5 | 2024 |
| 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 | 4 | 2023 |
| All roads lead to rome: Unveiling the trajectory of recommender systems across the llm era B Chen, X Dai, H Guo, W Guo, W Liu, Y Liu, J Qin, R Tang, Y Wang, C Wu, ... arXiv preprint arXiv:2407.10081, 2024 | 3 | 2024 |
| M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation J Zhu, Y Wang, J Lin, J Qin, R Tang, W Zhang, Y Yu Proceedings of the ACM Web Conference 2024, 3844-3853, 2024 | 2 | 2024 |
Ruiming TangHuaweiE-mailová adresa ověřena na: huawei.com
