| Uncovering chatgpt’s capabilities in recommender systems S Dai, N Shao, H Zhao, W Yu, Z Si, C Xu, Z Sun, X Zhang, J Xu Proceedings of the 17th ACM Conference on Recommender Systems, 1126-1132, 2023 | 91 | 2023 |
| P-MMF: Provider Max-min Fairness Re-ranking in Recommender System C Xu, S Chen, J Xu, W Shen, X Zhang, G Wang, Z Dong Proceedings of the ACM Web Conference 2023, 3701-3711, 2023 | 14 | 2023 |
| Do llms implicitly exhibit user discrimination in recommendation? an empirical study C Xu, W Wang, Y Li, L Pang, J Xu, TS Chua arXiv preprint arXiv:2311.07054, 2023 | 6 | 2023 |
| Distribution distance regularized sequence representation for text matching in asymmetrical domains W Yu, C Xu, J Xu, L Pang, JR Wen IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 721-733, 2022 | 6 | 2022 |
| LLM-based Federated Recommendation J Zhao, W Wang, C Xu, Z Ren, SK Ng, TS Chua arXiv preprint arXiv:2402.09959, 2024 | 5 | 2024 |
| LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops C Xu, X Ye, J Xu, X Zhang, W Shen, JR Wen arXiv preprint arXiv:2308.05902, 2023 | 2 | 2023 |
| A Taxation Perspective for Fair Re-ranking C Xu, X Ye, W Wang, L Pang, J Xu, TS Chua arXiv preprint arXiv:2404.17826, 2024 | | 2024 |
| Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models S Dai, C Xu, S Xu, L Pang, Z Dong, J Xu arXiv preprint arXiv:2404.11457, 2024 | | 2024 |
| FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval C Xu, J Xu, Y Ding, X Zhang, Q Qi arXiv preprint arXiv:2402.10628, 2024 | | 2024 |
Jun XuProfessor, Gaoling School of Artificial Intelligence, Renmin University of China在 ruc.edu.cn 的电子邮件经过验证
