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
88 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 Incremental randomized sketching for online kernel learning X Zhang, S Liao
International Conference on Machine Learning, 7394-7403, 2019
25 2019 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
15 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
14 2021 Online Kernel Selection via Incremental Sketched Kernel Alignment X Zhang, S Liao
IJCAI, 3118-3124, 2018
14 2018 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
13 2023 Llms may dominate information access: Neural retrievers are biased towards llm-generated texts S Dai, Y Zhou, L Pang, W Liu, X Hu, Y Liu, X Zhang, J Xu
arXiv preprint arXiv:2310.20501, 2023
8 2023 Law article-enhanced legal case matching: a model-agnostic causal learning approach Z Sun, J Xu, X Zhang, Z Dong, JR Wen
arXiv preprint arXiv:2210.11012, 2022
7 2022 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
7 2019 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
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
5 2023 Tensor completion via multi-shared-modes canonical correlation analysis X Zhang, S Liao
Neurocomputing 205, 106-115, 2016
5 2016 非奇 H-矩阵的一组迭代判别法 张骁, 陆全, 徐仲, 崔静静
数值计算与计算机应用 36 (1), 59-68, 2015
4 2015 非奇 H-矩阵的一组细分迭代判定条件 山瑞平, 陆全, 徐仲, 张骁
应用数学学报 37 (6), 1130-1139, 2014
4 2014 Unbiased Top- Learning to Rank with Causal Likelihood Decomposition H Zhao, J Xu, X Zhang, G Cai, Z Dong, JR Wen
Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023
3 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
3 2023 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
3 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
3 2022 Reinforcement Re-ranking with 2D Grid-based Recommendation Panels S Chen, X Zhang, X Chen, Z Li, Y Wang, Q Lin, J Xu
Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023
2 2023