| Adarank: a boosting algorithm for information retrieval J Xu, H Li Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 1094 | 2007 |
| Adapting ranking SVM to document retrieval Y Cao, J Xu, TY Liu, H Li, Y Huang, HW Hon Proceedings of the 29th annual international ACM SIGIR conference on …, 2006 | 717 | 2006 |
| Text Matching as Image Recognition L Pang, Y Lan, J Guo, J Xu, S Wan, X Cheng The 30th AAAI Conference on Artificial Intelligence (AAAI '16), 2016 | 637 | 2016 |
| LETOR: A benchmark collection for research on learning to rank for information retrieval T Qin, TY Liu, J Xu, H Li Information Retrieval 13 (4), 346-374, 2010 | 620 | 2010 |
| Multivariate time series imputation with generative adversarial networks Y Luo, X Cai, Y Zhang, J Xu, X Yuan Proceedings of the 32nd International Conference on Neural Information …, 2018 | 606 | 2018 |
| Letor: Benchmark dataset for research on learning to rank for information retrieval TY Liu, J Xu, T Qin, W Xiong, H Li Proceedings of SIGIR 2007 workshop on learning to rank for information …, 2007 | 589 | 2007 |
| Learning Hierarchical Representation Model for Next Basket Recommendation P Wang, J Guo, Y Lan, J Xu, S Wan, X Cheng 38th annual international ACM SIGIR conference on Research and development …, 2015 | 478 | 2015 |
| A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations S Wan, Y Lan, J Guo, J Xu, L Pang, X Cheng The 30th AAAI Conference on Artificial Intelligence (AAAI '16), 2016 | 427 | 2016 |
| DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval L Pang, Y Lan, J Guo, J Xu, J Xu, X Cheng Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 258 | 2017 |
| Semantic Matching in Search H Li, J Xu Foundations and Trends® in Information Retrieval 7 (5), 343-469, 2014 | 248 | 2014 |
| Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN S Wan, Y Lan, J Xu, J Guo, L Pang, X Cheng Proceedings of the Twenty-Fifth International Joint Conference on Artificial …, 2016 | 197 | 2016 |
| 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 | 193 | 2023 |
| Directly optimizing evaluation measures in learning to rank J Xu, TY Liu, M Lu, H Li, WY Ma Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 179 | 2008 |
| SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval L Pang, J Xu, Q Ai, Y Lan, X Cheng, J Wen Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 131 | 2020 |
| Deep Learning for Matching in Search and Recommendation J Xu, X He, H Li Foundations and Trends in Information Retrieval 14 (2-3), 102-288, 2020 | 119 | 2020 |
| A probabilistic model for bursty topic discovery in microblogs X Yan, J Guo, Y Lan, J Xu, X Cheng Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 119 | 2015 |
| Reinforcement Learning to Rank with Markov Decision Process Z Wei, J Xu, Y Lan, J Guo, X Cheng Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 118 | 2017 |
| Modeling Diverse Relevance Patterns in Ad-hoc Retrieval Y Fan, J Guo, Y Lan, J Xu, C Zhai, X Cheng Proceedings of the 41st International ACM SIGIR Conference on Research …, 2018 | 114 | 2018 |
| Sparse word embeddings using l1 regularized online learning F Sun, J Guo, Y Lan, J Xu, X Cheng Proceedings of the Twenty-Fifth International Joint Conference on Artificial …, 2016 | 105 | 2016 |
| Regularized latent semantic indexing Q Wang, J Xu, H Li, N Craswell SIGIR’11, 685-694, 2011 | 105 | 2011 |
Cheng XueqiChinese Academy of Sciences在 ict.ac.cn 的电子邮件经过验证
