| 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 | 702 | 2011 |
| Have things changed now? An empirical study of bug characteristics in modern open source software Z Li, L Tan, X Wang, S Lu, Y Zhou, C Zhai Proceedings of the 1st workshop on Architectural and system support for …, 2006 | 411 | 2006 |
| Position bias estimation for unbiased learning to rank in personal search X Wang, N Golbandi, M Bendersky, D Metzler, M Najork Proceedings of the eleventh ACM international conference on web search and …, 2018 | 315 | 2018 |
| Learning to rank with selection bias in personal search X Wang, M Bendersky, D Metzler, M Najork Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 308 | 2016 |
| Bug characteristics in open source software L Tan, C Liu, Z Li, X Wang, Y Zhou, C Zhai Empirical software engineering 19, 1665-1705, 2014 | 299 | 2014 |
| Mining correlated bursty topic patterns from coordinated text streams X Wang, CX Zhai, X Hu, R Sproat Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 284 | 2007 |
| An unbiased offline evaluation of contextual bandit algorithms with generalized linear models L Li, W Chu, J Langford, T Moon, X Wang Proceedings of the Workshop on On-line Trading of Exploration and …, 2012 | 277 | 2012 |
| Learn from web search logs to organize search results X Wang, CX Zhai Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 269 | 2007 |
| Locality preserving nonnegative matrix factorization. D Cai, X He, X Wang, H Bao, J Han IJCAI 9, 1010-1015, 2009 | 255 | 2009 |
| Probabilistic dyadic data analysis with local and global consistency D Cai, X Wang, X He Proceedings of the 26th annual international conference on machine learning …, 2009 | 211 | 2009 |
| Large language models are effective text rankers with pairwise ranking prompting Z Qin, R Jagerman, K Hui, H Zhuang, J Wu, L Yan, J Shen, T Liu, J Liu, ... arXiv preprint arXiv:2306.17563, 2023 | 199 | 2023 |
| The lambdaloss framework for ranking metric optimization X Wang, C Li, N Golbandi, M Bendersky, M Najork Proceedings of the 27th ACM international conference on information and …, 2018 | 176 | 2018 |
| Mining term association patterns from search logs for effective query reformulation X Wang, CX Zhai Proceedings of the 17th ACM conference on Information and knowledge …, 2008 | 176 | 2008 |
| Language model information retrieval with document expansion T Tao, X Wang, Q Mei, CX Zhai Proceedings of the Human Language Technology Conference of the NAACL, Main …, 2006 | 170 | 2006 |
| A study of methods for negative relevance feedback X Wang, H Fang, CX Zhai Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 165 | 2008 |
| Tf-ranking: Scalable tensorflow library for learning-to-rank RK Pasumarthi, S Bruch, X Wang, C Li, M Bendersky, M Najork, J Pfeifer, ... Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 162 | 2019 |
| Estimating position bias without intrusive interventions A Agarwal, I Zaitsev, X Wang, C Li, M Najork, T Joachims Proceedings of the twelfth ACM international conference on web search and …, 2019 | 161 | 2019 |
| Detect and Track Latent Factors with Online Nonnegative Matrix Factorization. B Cao, D Shen, JT Sun, X Wang, Q Yang, Z Chen IJCAI 7, 2689-2694, 2007 | 153 | 2007 |
| Learning to model relatedness for news recommendation Y Lv, T Moon, P Kolari, Z Zheng, X Wang, Y Chang Proceedings of the 20th international conference on World wide web, 57-66, 2011 | 136 | 2011 |
| Are neural rankers still outperformed by gradient boosted decision trees? Z Qin, L Yan, H Zhuang, Y Tay, RK Pasumarthi, X Wang, M Bendersky, ... International conference on learning representations, 2021 | 124 | 2021 |
Michael BenderskyGoogle DeepMindПідтверджена електронна адреса в google.com
