Seuraa
Michael Bendersky
Michael Bendersky
Google DeepMind
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Discovering key concepts in verbose queries
M Bendersky, WB Croft
Proceedings of the 31st annual international ACM SIGIR conference on …, 2008
3432008
Wit: Wikipedia-based image text dataset for multimodal multilingual machine learning
K Srinivasan, K Raman, J Chen, M Bendersky, M Najork
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
3222021
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
Learning concept importance using a weighted dependence model
M Bendersky, D Metzler, WB Croft
Proceedings of the third ACM international conference on Web search and data …, 2010
2342010
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
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
Quality-biased ranking of web documents
M Bendersky, WB Croft, Y Diao
Proceedings of the fourth ACM international conference on Web search and …, 2011
1572011
Lamp: When large language models meet personalization
A Salemi, S Mysore, M Bendersky, H Zamani
arXiv preprint arXiv:2304.11406, 2023
1502023
Analysis of long queries in a large scale search log
M Bendersky, WB Croft
Proceedings of the 2009 workshop on Web Search Click Data, 8-14, 2009
1482009
Parameterized concept weighting in verbose queries
M Bendersky, D Metzler, WB Croft
Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011
1402011
Effective query formulation with multiple information sources
M Bendersky, D Metzler, WB Croft
Proceedings of the fifth ACM international conference on Web search and data …, 2012
1372012
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
Rankt5: Fine-tuning t5 for text ranking with ranking losses
H Zhuang, Z Qin, R Jagerman, K Hui, J Ma, J Lu, J Ni, X Wang, ...
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
1232023
An analysis of the softmax cross entropy loss for learning-to-rank with binary relevance
S Bruch, X Wang, M Bendersky, M Najork
Proceedings of the 2019 ACM SIGIR international conference on theory of …, 2019
1222019
Learning groupwise multivariate scoring functions using deep neural networks
Q Ai, X Wang, S Bruch, N Golbandi, M Bendersky, M Najork
Proceedings of the 2019 ACM SIGIR international conference on theory of …, 2019
1222019
Beyond 512 tokens: Siamese multi-depth transformer-based hierarchical encoder for long-form document matching
L Yang, M Zhang, C Li, M Bendersky, M Najork
Proceedings of the 29th ACM International Conference on Information …, 2020
1212020
Information redaction from document data
M Bendersky, V Josifovski, A Saikia, MA Cartright, J Yang, LG Pueyo, ...
US Patent 9,734,148, 2017
1212017
Semantic text matching for long-form documents
JY Jiang, M Zhang, C Li, M Bendersky, N Golbandi, M Najork
The world wide web conference, 795-806, 2019
1162019
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20