| 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 | 151 | 2021 |
| 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 | 132 | 2022 |
| Fairness in recommendation: A survey Y Li, H Chen, S Xu, Y Ge, J Tan, S Liu, Y Zhang arXiv preprint arXiv:2205.13619, 2022 | 44 | 2022 |
| 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 | 42 | 2022 |
| 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 | 31 | 2022 |
| A survey on trustworthy recommender systems Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y Xian, Y Zhang arXiv preprint arXiv:2207.12515, 2022 | 29 | 2022 |
| 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 | 29 | 2021 |
| 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 | 28 | 2020 |
| 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 | 21 | 2021 |
| 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 | 20 | 2020 |
| 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 | 19 | 2022 |
| 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 | 18 | 2019 |
| Variation control and evaluation for generative slate recommendations S Liu, F Sun, Y Ge, C Pei, Y Zhang Proceedings of the Web Conference 2021, 436-448, 2021 | 14 | 2021 |
| VIP5: Towards Multimodal Foundation Models for Recommendation S Geng, J Tan, S Liu, Z Fu, Y Zhang arXiv preprint arXiv:2305.14302, 2023 | 11 | 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 | 11 | 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 arXiv preprint arXiv:2302.01724, 2023 | 11 | 2023 |
| Counterfactual evaluation for explainable ai Y Ge, S Liu, Z Li, S Xu, S Geng, Y Li, J Tan, F Sun, Y Zhang arXiv preprint arXiv:2109.01962, 2021 | 11 | 2021 |
| 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 | 10 | 2023 |
| 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 | 8 | 2023 |
| 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 | 7 | 2023 |
Yongfeng ZhangRutgers University, Computer ScienceVerified email at rutgers.edu
