Michael Bendersky


2022

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Search and Discovery in Personal Email Collections
Michael Bendersky | Xuanhui Wang | Marc Najork | Donald Metzler
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

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Stochastic Retrieval-Conditioned Reranking
Hamed Zamani | Michael Bendersky | Donald Metzler | Honglei Zhuang | Xuanhui Wang
ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022

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Retrieval-Enhanced Machine Learning
Hamed Zamani | Fernando Diaz | Mostafa Dehghani | Donald Metzler | Michael Bendersky
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

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Revisiting Two-tower Models for Unbiased Learning to Rank
Le Yan | Zhen Qin | Honglei Zhuang | Xuanhui Wang | Michael Bendersky | Marc Najork
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

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On Optimizing Top-K Metrics for Neural Ranking Models
Rolf Jagerman | Zhen Qin | Xuanhui Wang | Michael Bendersky | Marc Najork
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

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Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models
Tao Chen | Mingyang Zhang | Jing Lu | Michael Bendersky | Marc Najork
Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part I

2021

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Search and Discovery in Personal Email Collections
Michael Bendersky | Xuanhui Wang | Marc Najork | Donald Metzler
2021 Volume 15 Issue 1

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Improving Cloud Storage Search with User Activity
Rolf Jagerman | Weize Kong | Rama Kumar Pasumarthi | Zhen Qin | Michael Bendersky | Marc Najork
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

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Interpretable Ranking with Generalized Additive Models
Honglei Zhuang | Xuanhui Wang | Michael Bendersky | Alexander Grushetsky | Yonghui Wu | Petr Mitrichev | Ethan Sterling | Nathan Bell | Walker Ravina | Hai Qian
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

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Ensemble Distillation for BERT-Based Ranking Models
Honglei Zhuang | Zhen Qin | Shuguang Han | Xuanhui Wang | Michael Bendersky | Marc Najork
ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021

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WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
Krishna Srinivasan | Karthik Raman | Jiecao Chen | Michael Bendersky | Marc Najork
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

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Natural Language Understanding with Privacy-Preserving BERT
Chen Qu | Weize Kong | Liu Yang | Mingyang Zhang | Michael Bendersky | Marc Najork
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

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Cross-Positional Attention for Debiasing Clicks
Honglei Zhuang | Zhen Qin | Xuanhui Wang | Michael Bendersky | Xinyu Qian | Po Hu | Dan Chary Chen
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

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Diversification-Aware Learning to Rank using Distributed Representation
Le Yan | Zhen Qin | Rama Kumar Pasumarthi | Xuanhui Wang | Michael Bendersky
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

2020

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A Stochastic Treatment of Learning to Rank Scoring Functions
Sebastian Bruch | Shuguang Han | Michael Bendersky | Marc Najork
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

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Permutation Equivariant Document Interaction Network for Neural Learning to Rank
Rama Kumar Pasumarthi | Honglei Zhuang | Xuanhui Wang | Michael Bendersky | Marc Najork
ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Norway, September 14-17, 2020

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Feature Transformation for Neural Ranking Models
Honglei Zhuang | Xuanhui Wang | Michael Bendersky | Marc Najork
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

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Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching
Liu Yang | Mingyang Zhang | Cheng Li | Michael Bendersky | Marc Najork
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

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Matching Cross Network for Learning to Rank in Personal Search
Zhen Qin | Zhongliang Li | Michael Bendersky | Donald Metzler
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

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Adversarial Bandits Policy for Crawling Commercial Web Content
Shuguang Han | Michael Bendersky | Przemek Gajda | Sergey Novikov | Marc Najork | Bernhard Brodowsky | Alexandrin Popescul
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2019

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Neural Learning to Rank using TensorFlow Ranking: A Hands-on Tutorial
Rama Kumar Pasumarthi | Sebastian Bruch | Michael Bendersky | Xuanhui Wang
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019

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Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks
Qingyao Ai | Xuanhui Wang | Sebastian Bruch | Nadav Golbandi | Michael Bendersky | Marc Najork
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019

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An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance
Sebastian Bruch | Xuanhui Wang | Michael Bendersky | Marc Najork
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019

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Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning
Claudio Lucchese | Franco Maria Nardini | Rama Kumar Pasumarthi | Sebastian Bruch | Michael Bendersky | Xuanhui Wang | Harrie Oosterhuis | Rolf Jagerman | Maarten de Rijke
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019

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Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks
Sebastian Bruch | Masrour Zoghi | Michael Bendersky | Marc Najork
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019

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Multi-view Embedding-based Synonyms for Email Search
Cheng Li | Mingyang Zhang | Michael Bendersky | Hongbo Deng | Donald Metzler | Marc Najork
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019

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Domain Adaptation for Enterprise Email Search
Brandon Tran | Maryam Karimzadehgan | Rama Kumar Pasumarthi | Michael Bendersky | Donald Metzler
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019

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Personalized Online Spell Correction for Personal Search
Jai Prakash Gupta | Zhen Qin | Michael Bendersky | Donald Metzler
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

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Semantic Text Matching for Long-Form Documents
Jyun-Yu Jiang | Mingyang Zhang | Cheng Li | Michael Bendersky | Nadav Golbandi | Marc Najork
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

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Addressing Trust Bias for Unbiased Learning-to-Rank
Aman Agarwal | Xuanhui Wang | Cheng Li | Michael Bendersky | Marc Najork
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

2018

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Position Bias Estimation for Unbiased Learning to Rank in Personal Search
Xuanhui Wang | Nadav Golbandi | Michael Bendersky | Donald Metzler | Marc Najork
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018

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Semantic Location in Email Query Suggestion
John Foley | Mingyang Zhang | Michael Bendersky | Marc Najork
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

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Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering
Jiaming Shen | Maryam Karimzadehgan | Michael Bendersky | Zhen Qin | Donald Metzler
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

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The LambdaLoss Framework for Ranking Metric Optimization
Xuanhui Wang | Cheng Li | Nadav Golbandi | Michael Bendersky | Marc Najork
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

2017

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Learning from User Interactions in Personal Search via Attribute Parameterization
Michael Bendersky | Xuanhui Wang | Donald Metzler | Marc Najork
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017

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Related Event Discovery
Cheng Li | Michael Bendersky | Vijay Garg | Sujith Ravi
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017

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Situational Context for Ranking in Personal Search
Hamed Zamani | Michael Bendersky | Xuanhui Wang | Mingyang Zhang
Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017

2016

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Hierarchical Label Propagation and Discovery for Machine Generated Email
James B. Wendt | Michael Bendersky | Lluis Garcia Pueyo | Vanja Josifovski | Balint Miklos | Ivo Krka | Amitabh Saikia | Jie Yang | Marc-Allen Cartright | Sujith Ravi
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016

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Learning to Rank with Selection Bias in Personal Search
Xuanhui Wang | Michael Bendersky | Donald Metzler | Marc Najork
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016

2015

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Information Retrieval with Verbose Queries
Manish Gupta | Michael Bendersky
2015 Volume 9 Issue 3-4

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Information Retrieval with Verbose Queries
Manish Gupta | Michael Bendersky
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015

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Learning to Extract Local Events from the Web
John Foley | Michael Bendersky | Vanja Josifovski
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015

2013

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Two-Stage Learning to Rank for Information Retrieval
Van Dang | Michael Bendersky | W. Bruce Croft
Advances in Information Retrieval - 35th European Conference on IR Research, ECIR 2013, Moscow, Russia, March 24-27, 2013. Proceedings

2012

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Information retrieval with query hypergraphs
Michael Bendersky
2012 Volume 46 Issue 2

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Effective query formulation with multiple information sources
Michael Bendersky | Donald Metzler | W. Bruce Croft
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, WSDM 2012, Seattle, WA, USA, February 8-12, 2012

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Modeling higher-order term dependencies in information retrieval using query hypergraphs
Michael Bendersky | W. Bruce Croft
The 35th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR '12, Portland, OR, USA, August 12-16, 2012

2011

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Quality-biased ranking of web documents
Michael Bendersky | W. Bruce Croft | Yanlei Diao
Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011

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Parameterized concept weighting in verbose queries
Michael Bendersky | Donald Metzler | W. Bruce Croft
Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011

2010

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Query representation and understanding workshop
W. Bruce Croft | Michael Bendersky | Hang Li | Gu Xu
2010 Volume 44 Issue 2

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Utilizing inter-passage and inter-document similarities for reranking search results
Eyal Krikon | Oren Kurland | Michael Bendersky
2010 Volume 29 Issue 1

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Utilizing passage-based language models for ad hoc document retrieval
Michael Bendersky | Oren Kurland
2010 Volume 13 Issue 2

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Learning concept importance using a weighted dependence model
Michael Bendersky | Donald Metzler | W. Bruce Croft
Proceedings of the Third International Conference on Web Search and Web Data Mining, WSDM 2010, New York, NY, USA, February 4-6, 2010

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TREC 2010 Web Track Notebook: Term Dependence, Spam Filtering and Quality Bias
Michael Bendersky | David Fisher | W. Bruce Croft
Proceedings of The Nineteenth Text REtrieval Conference, TREC 2010, Gaithersburg, Maryland, USA, November 16-19, 2010

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Learning to rank query reformulations
Van Dang | Michael Bendersky | W. Bruce Croft
Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010, Geneva, Switzerland, July 19-23, 2010

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Structural annotation of search queries using pseudo-relevance feedback
Michael Bendersky | W. Bruce Croft | David A. Smith
Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26-30, 2010

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The anatomy of an ad: structured indexing and retrieval for sponsored search
Michael Bendersky | Evgeniy Gabrilovich | Vanja Josifovski | Donald Metzler
Proceedings of the 19th International Conference on World Wide Web, WWW 2010, Raleigh, North Carolina, USA, April 26-30, 2010

2009

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Analysis of long queries in a large scale search log
Michael Bendersky | W. Bruce Croft
Proceedings of the 2009 workshop on Web Search Click Data, WSCD@WSDM 2009, Barcelona, Spain, February 9, 2009

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Finding text reuse on the web
Michael Bendersky | W. Bruce Croft
Proceedings of the Second International Conference on Web Search and Web Data Mining, WSDM 2009, Barcelona, Spain, February 9-11, 2009

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Two-stage query segmentation for information retrieval
Michael Bendersky | W. Bruce Croft | David A. Smith
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009, Boston, MA, USA, July 19-23, 2009

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Utilizing inter-passage and inter-document similarities for re-ranking search results
Eyal Krikon | Oren Kurland | Michael Bendersky
Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, November 2-6, 2009

2008

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Re-ranking search results using document-passage graphs
Michael Bendersky | Oren Kurland
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008, Singapore, July 20-24, 2008

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Discovering key concepts in verbose queries
Michael Bendersky | W. Bruce Croft
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008, Singapore, July 20-24, 2008

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Utilizing Passage-Based Language Models for Document Retrieval
Michael Bendersky | Oren Kurland
Advances in Information Retrieval , 30th European Conference on IR Research, ECIR 2008, Glasgow, UK, March 30-April 3, 2008. Proceedings