| 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 | 202 | 2023 |
| A model-agnostic causal learning framework for recommendation using search data Z Si, X Han, X Zhang, J Xu, Y Yin, Y Song, JR Wen Proceedings of the ACM Web Conference 2022, 224-233, 2022 | 40 | 2022 |
| Incremental randomized sketching for online kernel learning X Zhang, S Liao International Conference on Machine Learning, 7394-7403, 2019 | 29 | 2019 |
| Neural retrievers are biased towards llm-generated content S Dai, Y Zhou, L Pang, W Liu, X Hu, Y Liu, X Zhang, G Wang, J Xu Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 27* | 2024 |
| 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 | 26 | 2023 |
| Counteracting user attention bias in music streaming recommendation via reward modification X Zhang, S Dai, J Xu, Z Dong, Q Dai, JR Wen Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 23 | 2022 |
| Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback X Zhang, H Jia, H Su, W Wang, J Xu, JR Wen Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 21 | 2021 |
| When search meets recommendation: Learning disentangled search representation for recommendation Z Si, Z Sun, X Zhang, J Xu, X Zang, Y Song, K Gai, JR Wen Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 17 | 2023 |
| Enhancing recommendation with search data in a causal learning manner Z Si, Z Sun, X Zhang, J Xu, Y Song, X Zang, JR Wen ACM Transactions on Information Systems 41 (4), 1-31, 2023 | 14 | 2023 |
| Online Kernel Selection via Incremental Sketched Kernel Alignment X Zhang, S Liao IJCAI, 3118-3124, 2018 | 14 | 2018 |
| Controllable Multi-Objective Re-ranking with Policy Hypernetworks S Chen, Y Wang, Z Wen, Z Li, C Zhang, X Zhang, Q Lin, C Zhu, J Xu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 11 | 2023 |
| Generative retrieval with semantic tree-structured item identifiers via contrastive learning Z Si, Z Sun, J Chen, G Chen, X Zang, K Zheng, Y Song, X Zhang, J Xu, ... arXiv preprint arXiv:2309.13375, 2023 | 10 | 2023 |
| Law article-enhanced legal case matching: a model-agnostic causal learning approach Z Sun, J Xu, X Zhang, Z Dong, JR Wen CoRR, 2022 | 10 | 2022 |
| KuaiSAR: A Unified Search And Recommendation Dataset Z Sun, Z Si, X Zang, D Leng, Y Niu, Y Song, X Zhang, J Xu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 8* | 2023 |
| Law article-enhanced legal case matching: A causal learning approach Z Sun, J Xu, X Zhang, Z Dong, JR Wen Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 8 | 2023 |
| A survey on online kernel selection for online kernel learning X Zhang, Y Liao, S Liao Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (2 …, 2019 | 8 | 2019 |
| Modeling user attention in music recommendation S Dai, N Shao, J Zhu, X Zhang, Z Dong, J Xu, Q Dai, JR Wen 2024 IEEE 40th International Conference on Data Engineering (ICDE), 761-774, 2024 | 7 | 2024 |
| HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation C Shen, X Zhang, W Wei, J Xu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 6 | 2023 |
| Variance reduction for deep Q-learning using stochastic recursive gradient H Jia, X Zhang, J Xu, W Zeng, H Jiang, X Yan International Conference on Neural Information Processing, 634-646, 2022 | 5 | 2022 |
| Tensor completion via multi-shared-modes canonical correlation analysis X Zhang, S Liao Neurocomputing 205, 106-115, 2016 | 5 | 2016 |
