Seuraa
Xuanhui Wang
Xuanhui Wang
Google DeepMind
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
7022011
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
4112006
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
3152018
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
3082016
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
2992014
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
2842007
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
2772012
Learn from web search logs to organize search results
X Wang, CX Zhai
Proceedings of the 30th annual international ACM SIGIR conference on …, 2007
2692007
Locality preserving nonnegative matrix factorization.
D Cai, X He, X Wang, H Bao, J Han
IJCAI 9, 1010-1015, 2009
2552009
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
2112009
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
1992023
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
1762018
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
1762008
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
1702006
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
1652008
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
1622019
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
1612019
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
1532007
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
1362011
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
1242021
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