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Michael Bendersky
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Discovering key concepts in verbose queries
M Bendersky, WB Croft
Proceedings of the 31st annual international ACM SIGIR conference on …, 2008
3412008
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
3012018
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
2972016
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
2782021
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
2312010
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
1682018
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
1582019
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
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
1562023
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
1462009
Parameterized concept weighting in verbose queries
M Bendersky, D Metzler, WB Croft
Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011
1382011
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
1352012
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
1212021
Finding text reuse on the web
M Bendersky, WB Croft
Proceedings of the Second ACM International Conference on Web Search and …, 2009
1152009
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
1102019
Learning-to-Rank with BERT in TF-Ranking
S Han, X Wang, M Bendersky, M Najork
arXiv preprint arXiv:2004.08476, 2020
1092020
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
1082020
Information retrieval with verbose queries
M Gupta, M Bendersky
Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015
1082015
Lamp: When large language models meet personalization
A Salemi, S Mysore, M Bendersky, H Zamani
arXiv preprint arXiv:2304.11406, 2023
1072023
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
1072019
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