| 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 | 85 | 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 | 29 | 2022 |
| 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 | 6 | 2023 |
| 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 SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on …, 2023 | 5 | 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 | 2 | 2023 |
| UniSAR: Modeling User Transition Behaviors between Search and Recommendation T Shi, Z Si, J Xu, X Zhang, X Zang, K Zheng, D Leng, Y Niu, Y Song arXiv preprint arXiv:2404.09520, 2024 | | 2024 |
| To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process Z Sun, Z Si, X Zhang, X Zang, Y Song, H Xu, J Xu arXiv preprint arXiv:2404.03267, 2024 | | 2024 |
| Large Language Models Enhanced Collaborative Filtering Z Sun, Z Si, X Zang, K Zheng, Y Song, X Zhang, J Xu arXiv preprint arXiv:2403.17688, 2024 | | 2024 |
| Reward Imputation with Sketching for Contextual Batched Bandits X Zhang, N Shao, Z Si, J Xu, W Wang, H Su, JR Wen Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Incorporating Judgment Prediction into Legal Case Retrieval via Law-aware Generative Retrieval W Qin, Z Cao, W Yu, Z Si, S Chen, J Xu arXiv preprint arXiv:2312.09591, 2023 | | 2023 |
| Explainable Legal Case Matching via Graph Optimal Transport Z Sun, W Yu, Z Si, J Xu, Z Dong, X Chen, H Xu, JR Wen IEEE Transactions on Knowledge and Data Engineering, 2023 | | 2023 |
| 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 | | 2023 |
| Partial Information as Full: Reward Imputation with Sketching in Bandits X Zhang, N Shao, Z Si, J Xu, W Wang, JR Wen | | 2021 |
| Appendices for Reward Imputation with Sketching for Contextual Batched Bandits X Zhang, N Shao, Z Si, J Xu, W Wang, H Su, JR Wen | | |
Jun XuProfessor, Gaoling School of Artificial Intelligence, Renmin University of ChinaVerified email at ruc.edu.cn
