| Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5) S Geng, S Liu, Z Fu, Y Ge, Y Zhang Proceedings of the 16th ACM conference on recommender systems, 299-315, 2022 | 510 | 2022 |
| Towards long-term fairness in recommendation Y Ge, S Liu, R Gao, Y Xian, Y Li, X Zhao, C Pei, F Sun, J Ge, W Ou, ... Proceedings of the 14th ACM international conference on web search and data …, 2021 | 246 | 2021 |
| Fairness in recommendation: Foundations, methods, and applications Y Li, H Chen, S Xu, Y Ge, J Tan, S Liu, Y Zhang ACM Transactions on Intelligent Systems and Technology 14 (5), 1-48, 2023 | 144 | 2023 |
| A survey on trustworthy recommender systems Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y Xian, Y Zhang ACM Transactions on Recommender Systems 3 (2), 1-68, 2024 | 90 | 2024 |
| Explainable fairness in recommendation Y Ge, J Tan, Y Zhu, Y Xia, J Luo, S Liu, Z Fu, S Geng, Z Li, Y Zhang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 75 | 2022 |
| Vip5: Towards multimodal foundation models for recommendation S Geng, J Tan, S Liu, Z Fu, Y Zhang arXiv preprint arXiv:2305.14302, 2023 | 74 | 2023 |
| FedCT: Federated collaborative transfer for recommendation S Liu, S Xu, W Yu, Z Fu, Y Zhang, A Marian Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 62 | 2021 |
| Graph collaborative reasoning H Chen, Y Li, S Shi, S Liu, H Zhu, Y Zhang Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 48 | 2022 |
| Learning causal explanations for recommendation S Xu, Y Li, S Liu, Z Fu, Y Ge, X Chen, Y Zhang The 1st International Workshop on Causality in Search and Recommendation, 2021 | 46 | 2021 |
| 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 | 43 | 2023 |
| Reinforcing user retention in a billion scale short video recommender system Q Cai, S Liu, X Wang, T Zuo, W Xie, B Yang, D Zheng, P Jiang, K Gai Companion Proceedings of the ACM Web Conference 2023, 421-426, 2023 | 40 | 2023 |
| Two-stage constrained actor-critic for short video recommendation Q Cai, Z Xue, C Zhang, W Xue, S Liu, R Zhan, X Wang, T Zuo, W Xie, ... Proceedings of the ACM Web Conference 2023, 865-875, 2023 | 39 | 2023 |
| Fairness-aware Federated Matrix Factorization S Liu, Y Ge, S Xu, Y Zhang, A Marian Proceedings of the 16th ACM Conference on Recommender Systems, 168-178, 2022 | 39 | 2022 |
| A large language model enhanced conversational recommender system Y Feng, S Liu, Z Xue, Q Cai, L Hu, P Jiang, K Gai, F Sun arXiv preprint arXiv:2308.06212, 2023 | 38 | 2023 |
| Prefrec: Recommender systems with human preferences for reinforcing long-term user engagement W Xue, Q Cai, Z Xue, S Sun, S Liu, D Zheng, P Jiang, K Gai, B An Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 34* | 2023 |
| Learning personalized risk preferences for recommendation Y Ge, S Xu, S Liu, Z Fu, F Sun, Y Zhang Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 32 | 2020 |
| Exploration and Regularization of the Latent Action Space in Recommendation S Liu, Q Cai, B Sun, Y Wang, J Jiang, D Zheng, K Gai, P Jiang, X Zhao, ... The Web Conference 2023, 833–844, 2023 | 27 | 2023 |
| Maximizing marginal utility per dollar for economic recommendation Y Ge, S Xu, S Liu, S Geng, Z Fu, Y Zhang The World Wide Web Conference, 2757-2763, 2019 | 27 | 2019 |
| Learning post-hoc causal explanations for recommendation S Xu, Y Li, S Liu, Z Fu, X Chen, Y Zhang arXiv preprint arXiv:2006.16977, 2020 | 26 | 2020 |
| Generative flow network for listwise recommendation S Liu, Q Cai, Z He, B Sun, J McAuley, D Zheng, P Jiang, K Gai Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 25 | 2023 |
Yongfeng ZhangProfessor of Computer Science, Rutgers UniversityBestätigte E-Mail-Adresse bei rutgers.edu
