| A contextual-bandit approach to personalized news article recommendation L Li, W Chu, J Langford, RE Schapire Proceedings of the 19th international conference on World wide web, 661-670, 2010 | 1760 | 2010 |
| Contextual bandits with linear payoff functions W Chu, L Li, L Reyzin, RE Schapire Conference on Artificial Intelligence and Statistics (AISTATS), 2011 | 568 | 2011 |
| Gaussian processes for ordinal regression W Chu, Z Ghahramani JMLR 6, 1019-1041, 2004 | 484 | 2004 |
| Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms L Li, W Chu, J Langford, X Wang Proceedings of the fourth ACM international conference on Web search and …, 2011 | 436 | 2011 |
| Pairwise preference regression for cold-start recommendation ST Park, W Chu Proceedings of the third ACM conference on Recommender systems, 21-28, 2009 | 339 | 2009 |
| New approaches to support vector ordinal regression W Chu, SS Keerthi Proceedings of the 22nd international conference on Machine learning, 145-152, 2005 | 330 | 2005 |
| Preference learning with Gaussian processes W Chu, Z Ghahramani Proceedings of the 22nd international conference on Machine learning, 137-144, 2005 | 311 | 2005 |
| Support vector ordinal regression W Chu, SS Keerthi Neural Computation 19 (3), 792-815, 2007 | 302 | 2007 |
| Personalized recommendation on dynamic content using predictive bilinear models W Chu, ST Park Proceedings of the 18th international conference on World wide web, 691-700, 2009 | 274 | 2009 |
| Modeling the Impact of Short-and Long-Term Behavior on Search Personalization PN Bennett, RW White, W Chu, ST Dumais, P Bailey, F Borisyuk, X Cui | 261 | 2012 |
| Stochastic relational models for discriminative link prediction K Yu, W Chu, S Yu, V Tresp, Z Xu Advances in Neural Information Processing Systems 19, 1553, 2007 | 220 | 2007 |
| Multi-category classification by soft-max combination of binary classifiers K Duan, S Keerthi, W Chu, S Shevade, A Poo Multiple Classifier Systems, 160-160, 2003 | 156 | 2003 |
| Bayesian support vector regression using a unified loss function W Chu, SS Keerthi, CJ Ong IEEE transactions on neural networks 15 (1), 29-44, 2004 | 139 | 2004 |
| Biomarker discovery in microarray gene expression data with Gaussian processes W Chu, Z Ghahramani, F Falciani, DL Wild Bioinformatics 21 (16), 3385-3393, 2005 | 135 | 2005 |
| Probabilistic models for incomplete multi-dimensional arrays W Chu, Z Ghahramani AISTATS, 2009 | 126 | 2009 |
| Alime chat: A sequence to sequence and rerank based chatbot engine M Qiu, FL Li, S Wang, X Gao, Y Chen, W Zhao, H Chen, J Huang, W Chu Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 123 | 2017 |
| Unbiased online active learning in data streams W Chu, M Zinkevich, L Li, A Thomas, B Tseng Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 122 | 2011 |
| A support vector approach to censored targets PK Shivaswamy, W Chu, M Jansche Seventh IEEE International Conference on Data Mining (ICDM 2007), 655-660, 2007 | 122 | 2007 |
| Enhancing personalized search by mining and modeling task behavior RW White, W Chu, A Hassan, X He, Y Song, H Wang Proceedings of the 22nd international conference on World Wide Web, 1411-1420, 2013 | 116 | 2013 |
| Relational learning with gaussian processes W Chu, V Sindhwani, Z Ghahramani, SS Keerthi Advances in Neural Information Processing Systems 19, 289, 2007 | 112 | 2007 |
Lihong Li (李力鸿)AmazonПодтвержден адрес электронной почты в домене amazon.com
