| 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 | 33 | 2023 |
| Multi-task recommendations with reinforcement learning Z Liu, J Tian, Q Cai, X Zhao, J Gao, S Liu, D Chen, T He, D Zheng, P Jiang, ... Proceedings of the ACM Web Conference 2023, 1273-1282, 2023 | 27 | 2023 |
| KuaiSim: A comprehensive simulator for recommender systems K Zhao, S Liu, Q Cai, X Zhao, Z Liu, D Zheng, P Jiang, K Gai Advances in Neural Information Processing Systems 36, 44880-44897, 2023 | 13 | 2023 |
| M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework Z Zhang, S Liu, J Yu, Q Cai, X Zhao, C Zhang, Z Liu, Q Liu, H Zhao, L Hu, ... Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 3 | 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 | 3 | 2024 |
| AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation Z Liu, K Chen, F Song, B Chen, X Zhao, H Guo, R Tang Knowledge and Information Systems 66 (1), 89-113, 2024 | 3 | 2024 |
| Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention Z Liu, S Liu, Z Zhang, Q Cai, X Zhao, K Zhao, L Hu, P Jiang, K Gai Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 2 | 2024 |
| Learning empirical Bregman divergence for uncertain distance representation Z Li, Z Liu, A Zou, AL Ralescu 2023 26th International Conference on Information Fusion (FUSION), 1-8, 2023 | 1 | 2023 |
| Modeling User Retention through Generative Flow Networks Z Liu, S Liu, B Yang, Z Xue, Q Cai, X Zhao, Z Zhang, L Hu, H Li, P Jiang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
Qingpeng CaiKuaishou TechnologyZweryfikowany adres z mails.tsinghua.edu.cn
