IR
Anthology
Community
Michael
Bendersky
2026
doi
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Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering.
Alireza Salemi
|
Cheng Li
|
Mingyang Zhang
|
Qiaozhu Mei
|
Zhuowan Li
|
Spurthi Amba Hombaiah
|
Weize Kong
|
Tao Chen
|
Hamed Zamani
|
Michael Bendersky
Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.
2024
doi
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Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?
Minghan Li
|
Honglei Zhuang
|
Kai Hui
|
Zhen Qin
|
Jimmy Lin
|
Rolf Jagerman
|
Xuanhui Wang
|
Michael Bendersky
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi
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The Second Workshop on Large Language Models for Individuals, Groups, and Society.
Michael Bendersky
|
Cheng Li
|
Qiaozhu Mei
|
Vanessa Murdock
|
Jie Tang
|
Hongning Wang
|
Hamed Zamani
|
Mingyang Zhang
|
Xingjian Zhang
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi
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Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization.
Hamed Zamani
|
Michael Bendersky
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi
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WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society.
Michael Bendersky
|
Cheng Li
|
Qiaozhu Mei
|
Vanessa Murdock
|
Jie Tang
|
Hongning Wang
|
Hamed Zamani
|
Mingyang Zhang
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
doi
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Learning to Rewrite Prompts for Personalized Text Generation.
Cheng Li
|
Mingyang Zhang
|
Qiaozhu Mei
|
Weize Kong
|
Michael Bendersky
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
2023
doi
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Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance.
Aijun Bai
|
Rolf Jagerman
|
Zhen Qin
|
Le Yan
|
Pratyush Kar
|
Bing-Rong Lin
|
Xuanhui Wang
|
Michael Bendersky
|
Marc Najork
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi
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Learning Sparse Lexical Representations Over Specified Vocabularies for Retrieval.
Jeffrey M. Dudek
|
Weize Kong
|
Cheng Li
|
Mingyang Zhang
|
Michael Bendersky
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi
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Metric-agnostic Ranking Optimization.
Qingyao Ai
|
Xuanhui Wang
|
Michael Bendersky
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi
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SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023).
Michael Bendersky
|
Danqi Chen
|
Fernando Diaz
|
Hamed Zamani
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi
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SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval.
Weize Kong
|
Jeffrey M. Dudek
|
Cheng Li
|
Mingyang Zhang
|
Michael Bendersky
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi
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Multivariate Representation Learning for Information Retrieval.
Hamed Zamani
|
Michael Bendersky
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi
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RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses.
Honglei Zhuang
|
Zhen Qin
|
Rolf Jagerman
|
Kai Hui
|
Ji Ma
|
Jing Lu
|
Jianmo Ni
|
Xuanhui Wang
|
Michael Bendersky
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi
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"Why is this misleading?": Detecting News Headline Hallucinations with Explanations.
Jiaming Shen
|
Jialu Liu
|
Daniel Finnie
|
Negar Rahmati
|
Mike Bendersky
|
Marc Najork
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
doi
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Job Type Extraction for Service Businesses.
Cheng Li
|
Yaping Qi
|
Hayk Zakaryan
|
Mingyang Zhang
|
Michael Bendersky
|
Yonghua Wu
|
Marc Najork
Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
doi
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What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis.
Xiang Deng
|
Vasilisa Bashlovkina
|
Feng Han
|
Simon Baumgartner
|
Michael Bendersky
Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
doi
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LLMs to the Moon? Reddit Market Sentiment Analysis with Large Language Models.
Xiang Deng
|
Vasilisa Bashlovkina
|
Feng Han
|
Simon Baumgartner
|
Michael Bendersky
Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
2022
doi
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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
doi
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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
doi
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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
doi
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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
doi
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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
doi
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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
2021
doi
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Search and Discovery in Personal Email Collections.
Michael Bendersky
|
Xuanhui Wang
|
Marc Najork
|
Donald Metzler
Foundations and Trends in Information Retrieval 2021 Volume 15 Issue 1
doi
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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
doi
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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
doi
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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
doi
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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
doi
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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
doi
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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.
doi
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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.
2020
doi
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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
doi
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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
doi
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Feature Transformation for Neural Ranking Models.
Honglei Zhuang
|
Michael Bendersky
|
Thaer Samar
|
Xuanhui Wang
|
Thaer Samar
|
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
doi
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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
doi
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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
doi
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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
2019
doi
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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.
doi
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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.
doi
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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.
doi
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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.
doi
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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.
doi
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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.
doi
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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.
doi
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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
doi
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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
doi
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Predictive Crawling for Commercial Web Content.
Shuguang Han
|
Bernhard Brodowsky
|
Przemek Gajda
|
Sergey Novikov
|
Mike Bendersky
|
Marc Najork
|
Robin Dua
|
Alexandrin Popescul
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019
doi
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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
2018
doi
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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
doi
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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
doi
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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
doi
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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
2017
doi
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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
doi
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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
doi
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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
doi
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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
doi
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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
2015
doi
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Information Retrieval with Verbose Queries.
Manish Gupta
|
Michael Bendersky
Foundations and Trends in Information Retrieval 2015 Volume 9 Issue 3-4
doi
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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
doi
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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
2013
doi
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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
doi
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Information retrieval with query hypergraphs.
Michael Bendersky
SIGIR Forum 2012 Volume 46 Issue 2
doi
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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
doi
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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
2011
doi
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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
doi
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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
2010
doi
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Utilizing inter-passage and inter-document similarities for reranking search results.
Eyal Krikon
|
Oren Kurland
|
Michael Bendersky
ACM Transactions on Information Systems (TOIS) 2010 Volume 29 Issue 1
doi
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Utilizing passage-based language models for ad hoc document retrieval.
Michael Bendersky
|
Oren Kurland
Discover Computing 2010 Volume 13 Issue 2
doi
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Query representation and understanding workshop.
W. Bruce Croft
|
Michael Bendersky
|
Hang Li
|
Gu Xu
SIGIR Forum 2010 Volume 44 Issue 2
doi
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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
doi
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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
dblp
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
doi
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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
doi
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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
doi
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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
doi
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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
doi
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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
2008
doi
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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
doi
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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
doi
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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