List of Publications (by Year)
2022
- K. Srinivasan, K. Raman, A. Samanta, L. Liao, L. Bertelli, M. Bendersky "QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation" In Proceedings of EMNLP 2022 (Industry Track) [abstract]
- L. Yan, Z. Qin, X. Wang, M. Bendersky, M. Najork "Scale Calibration of Deep Ranking Models" In Proceedings of KDD 2022 [abstract]
- R. Jagerman, X. Wang, H. Zhuang, Z. Qin, M. Bendersky, M. Najork "Rax: Composable learning-to-rank using JAX" In Proceedings of KDD 2022 [abstract] [Google Research Blog]
- W. Kong, S. Khadanga, C. Li, S. Gupta, M. Zhang, W. Xu, M. Bendersky "Multi-Aspect Dense Retrieval" In Proceedings of KDD 2022 [abstract]
- H. Zamani, M. Bendersky, D. Metzler, H. Zhuang, X. Wang "Stochastic Retrieval-Conditioned Reranking" In Proceedings of ICTIR 2022 [abstract]
- H. Zamani, F. Diaz, M. Dehghani, D. Metzler, M. Bendersky "Retrieval-Enhanced Machine Learning" In Proceedings of SIGIR 2022 [abstract]
- L. Yan, Z. Qin, H. Zhuang, X. Wang, M. Bendersky, M. Najork "Revisiting Two-tower Models for Unbiased Learning to Rank" In Proceedings of SIGIR 2022 [abstract]
- R. Jagerman, Z. Qin, X. Wang, M. Bendersky, M. Najork "On Optimizing Top-K Metrics for Neural Ranking Models" In Proceedings of SIGIR 2022 [abstract]
- T. Chen, M. Zhang, J. Lu, M. Bendersky, M. Najork "Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models" In Proceedings of ECIR 2022 [abstract]
2021
- T. Wu, C. Li, M. Zhang, T. Chen, S. A. Hombaiah, M. Bendersky "LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding" In Proceedings of Visually Grounded Interaction and Language Workshop (NAACL 2021) [abstract]
- C. Qu, W. Kong, L. Yang, M. Zhang, M. Bendersky, M. Najork "Natural Language Understanding with Privacy-Preserving BERT" In Proceedings of CIKM 2021 [abstract]
- M. Bendersky, X. Wang, M. Najork, D. Metzler "Search and Discovery in Personal Email Collections" Foundations and Trends® in Information Retrieval (Vol. 15, Issue 1) [abstract]
- S. A. Hombaiah, T. Chen, M. Zhang, M. Bendersky, M. Najork "Dynamic Language Models for Continuously Evolving Content" In Proceedings of KDD 2021 [abstract]
- Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork "Bootstrapping Recommendations at Chrome Web Store" In Proceedings of KDD 2021 [abstract]
- H. Zhuang, Z. Qin, S. Han, X. Wang, M. Bendersky, M. Najork "Ensemble Distillation for BERT-Based Ranking Models" In Proceedings of ICTIR 2021 [abstract]
- K. Srinivasan, K. Raman, J. Chen, M. Bendersky, M. Najork "WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning" In Proceedings of SIGIR 2021 (Resource Track) [abstract] [dataset]
- L. Yan, Z. Qin, R. K. Pasumarthi, X. Wang, M. Bendersky "Diversification-Aware Learning to Rank using Distributed Representation" In Proceedings of The Web Conference 2021 [abstract]
- H. Zhuang, Z. Qin, X. Wang, M. Bendersky, X. Qian, P. Hu, C. Chen "Cross-Positional Attention for Debiasing Clicks" In Proceedings of The Web Conference 2021 [abstract]
- Z. Qin, L. Yan, H. Zhuang, Y. Tay, R. K. Pasumarthi, X. Wang, M. Bendersky, M. Najork "Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?" In Proceedings of ICLR 2021 [abstract]
- R. Jagerman, W. Kong, R. K. Pasumarthi, Z. Qin, M. Bendersky, M. Najork "Improving Cloud Storage Search with User Activity" In Proceedings of WSDM 2021 [abstract]
- H. Zhuang, X. Wang, M. Bendersky, A. Grushetsky, Y. Wu, P. Mitrichev, E. Sterling, N. Bell, W. Ravina, H. Qian "Interpretable Learning-to-Rank with Generalized Additive Models" In Proceedings of WSDM 2021 [abstract]
2020
- M. Bendersky, H. Zhuang, J. Ma, S. Han, K. Hall, R. McDonald "RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble" ArXiv [preprint]
- S. Han, X. Wang, M. Bendersky, M. Najork "Learning-to-Rank with BERT in TF-Ranking" ArXiv [preprint]
- S. Kuzi, M. Zhang, C.Li, M. Bendersky, M. Najork "Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach" ArXiv [preprint]
- J. Chen, L. Yang, K. Raman, M. Bendersky, J. Yeh, Y. Zhou, M. Najork, D. Cai, E. Emadzadeh "DiPair: Fast and Accurate Distillation for Large-Scale Text Matching" In Findings of EMNLP 2020 [abstract]
- L. Yang, M. Zhang, C. Li, M. Bendersky, M. Najork "Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching" In Proceedings of CIKM 2020 [abstract]
- R. K. Pasumarthi, H. Zhuang, X. Wang, M. Bendersky, M. Najork "Permutation Equivariant Document Interaction Network for Neural Learning to Rank" In Proceedings of ICTIR 2020 [abstract] [Best short paper award nomination]
- W. Kong, M. Bendersky, M. Najork, B. Vargo, M. Colagrosso "Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs" In Proceedings of KDD 2020 [abstract]
- H. Zhuang, X. Wang, M. Bendersky, M. Najork "Feature Transformation for Neural Ranking Models" In Proceedings of SIGIR 2020 [abstract]
- Z. Qin, Z. Li, M. Bendersky, D. Metzler "Matching Cross Network for Learning to Rank in Personal Search" In Proceedings of The Web Conference 2020 [abstract]
- S. Han, M. Bendersky, P. Gajda, S. Novikov, M. Najork, B. Brodowsky, A. Popescul "Adversarial Bandits Policy for Crawling Commercial Web Content" In Proceedings of The Web Conference 2020 [abstract]
- S. Bruch, S. Han, M. Bendersky. M. Najork "A Stochastic Treatment of Learning to Rank Scoring Functions" In Proceedings of WSDM 2020 [abstract]
2019
- S. Bruch, X. Wang, M. Bendersky. M. Najork "An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance" In Proceedings of ICTIR 2019 [abstract] [Best short paper award]
- Q. Ai, X. Wang, S. Bruch, N. Golbandi, M. Bendersky, M. Najork "Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks" In Proceedings of ICTIR 2019 [abstract]
- R. K. Pasumarthi, S. Bruch, X. Wang, C. Li, M. Bendersky, M. Najork, J. Pfeifer, N. Golbandi, R. Anil, S. Wolf "TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank" In Proceedings of KDD 2019 [abstract][video]
- S. Bruch, M. Zoghi, M. Bendersky, M. Najork "Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks" In Proceedings of SIGIR 2019 [abstract]
- C. Li, M. Zhang, M. Bendersky, H. Deng, D. Metzler, M. Najork "Multi-view Embedding-based Synonyms for Personal Search" In Proceedings of SIGIR 2019 [abstract]
- B. Tran, M. Karimzadehgan, R. K. Pasumarthi, M. Bendersky, D.Metzler "Domain Adaptation for Enterprise Email Search" In Proceedings of SIGIR 2019 [abstract]
- J. Jiang, M. Zhang, C. Li, M. Bendersky, N. Golbandi, M. Najork "Semantic Text Matching for Long-Form Documents" In Proceedings of The Web Conference 2019 [abstract]
- A. Agarwal, X. Wang, C. Li, M. Bendersky, M. Najork "Addressing Trust Bias for Unbiased Learning-to-Rank" In Proceedings of The Web Conference 2019 [abstract]
- J. Gupta, Z. Qin, M. Bendersky, D. Metzler "Personalized Online Spell Correction for Personal Search" In Proceedings of The Web Conference 2019 [abstract]
- S. Han, B. Brodowsky, P. Gajda, S. Novikov, M. Bendersky, M. Najork, R. Dua, A. Popescul "Predictive Crawling for Commercial Web Content" In Proceedings of The Web Conference 2019 [abstract]
2018
- X. Wang, C. Li, N. Golbandi, M. Bendersky, M. Najork "The LambdaLoss Framework for Ranking Metric Optimization" CIKM 2018 [abstract]
- J. Shen, M. Karimzadehgan, M. Bendersky, Z. Qin, D. Metzler "Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering" CIKM 2018 [abstract]
- A. Agrawal, X. Wang, C. Li, M. Bendersky, M. Najork "Offline Comparison of Ranking Functions using Randomized Data" REVEAL Workshop at RecSys 2018 [abstract]
- M. Bendersky, X. Wang, M. Najork, D. Metzler "Learning with Sparse and Biased Feedback for Personal Search" In Proceedings of IJCAI 2018 [abstract]
- J. Foley, M. Zhang, M. Bendersky, M. Najork "Semantic Location in Email Query Suggestion" In Proceedings of SIGIR 2018 [abstract]
- X. Wang, N. Golbandi, M. Bendersky, D. Metzler, M. Najork "Position Bias Estimation for Unbiased Learning to Rank in Personal Search" In Proceedings of WSDM 2018 [pdf]
2017
- H. Zamani, M. Bendersky, X. Wang, M. Zhang "Situational Context for Ranking in Personal Search" In Proceedings of WWW 2017 [pdf]
- M. Bendersky, X. Wang, D. Metzler, M. Najork "Learning from User Interactions in Personal Search via Attribute Parameterizations" In Proceedings of WSDM 2017 [pdf] [Best paper award nomination]
- C. Li, M. Bendersky, S. Ravi, V. Garg "Related Event Discovery" In Proceedings of WSDM 2017 [pdf]
2016
- H. Oosterhuis, S.Ravi, M. Bendersky "Semantic Video Trailers" In Proceedings of ICML 2016 Workshop on Multi-View Representation Learning [pdf]
- X. Wang, M. Bendersky, D. Metzler, M. Najork "Learning to Rank with Selection Bias in Personal Search" In Proceedings of SIGIR 2016 [pdf]
- J. B. Wendt, M. Bendersky, L. Garcia Pueyo, V. Josifovski, B. Miklos, I. Krka, A. Saikia, J. Yang, M. Cartright, S. Ravi "Hierarchical Label Propagation and Discovery for Machine Generated Email" In Proceedings of WSDM 2016 [pdf]
2015
- M. Gupta, M. Bendersky "Information retrieval with Verbose Queries" Foundations and Trends® in Information Retrieval (Vol. 9, Issue 3-4) [pdf]
- J. Foley, M. Bendersky, V. Josifovski "Learning to Extract Local Events from the Web" In Proceedings of SIGIR 2015 [pdf]
2014
- M. Bendersky, L. Garcia Pueyo, V. Josifovski, J. Harmsen "Up Next: Retrieval Methods for Large Scale Related Video Suggestion" In Proceedings of KDD 2014 [pdf]
2013
- V. Dang, M. Bendersky, W. Bruce Croft: "Two-Stage Learning to Rank for Information Retrieval" In Proceedings of ECIR 2013 [pdf]
2012
- M. Bendersky: "Information Retrieval with Query Hypergraphs" PhD Dissertation [Open Access] [Outstanding Dissertation Award]
- M. Bendersky, W. Bruce Croft: "Modeling Higher-Order Term Dependencies in Information Retrieval using Query Hypergraphs" In Proceedings of SIGIR 2012 [pdf]
- M. Bendersky, D. A. Smith: "A Dictionary of Wisdom and Wit: Learning to Extract Quotable Phrases" In Proceedings of the Computational Linguistics for Literature Workshop at NAACL-HLT 2012 [pdf] [poster]
- M. Bendersky, D. Metzler and W. Bruce Croft: "Effective Query Formulation with Multiple Information Sources" In Proceedings of WSDM 2012 [pdf] [Best Paper Runner-up: Search Category]
- Hang Li, Gu Xu, W. Bruce Croft, Michael Bendersky, Ziqi Wang, Evelyne Viegas: "QRU-1: A Public Dataset for Promoting Query Representation and Understanding Research" Workshop on Web Search Click Data, WSDM 2012 [pdf]
2011
- M. Bendersky, D. Metzler and W. Bruce Croft: "Parameterized Concept Weighting in Verbose Queries" In Proceedings of SIGIR 2011 [pdf] [Honorable Mention Award]
- M. Bendersky, W. Bruce Croft and D. A. Smith: "Joint Annotation of Search Queries" In Proceedings of ACL-HLT 2011 [pdf]
- M. Bendersky D. Fisher and W. Bruce Croft: "UMass at TREC 2010 Web Track" In Proceedings of TREC 2010 [pdf]
- M. Bendersky, W. Bruce Croft and Y. Diao: "Quality-Biased Ranking of Web Documents" In Proceedings of WSDM 2011 [pdf]
- E. Krikon, O. Kurland, M. Bendersky: "Utilizing inter-passage and inter-document similarities for re-ranking search results" ACM Transactions on Information Systems (To appear)
2010
- M. Bendersky, W. Bruce Croft and D. A. Smith: "Structural Annotation of Search Queries Using Pseudo-Relevance Feedback" In Proceedings of CIKM 2010 [pdf]
- V. Dang, M. Bendersky and W. Bruce Croft: "Learning to Rank Query Reformulations" In Proceedings of SIGIR 2010 [pdf]
- N. Balasubramanian, M. Bendersky and J. Allan: "Cost-Effective Combination of Multiple Rankers: Learning When Not To Query" Presented at NESCAI 2010 [pdf]
- M. Bendersky, E. Gabrilovich, V. Josifovski and D. Metzler: "The Anatomy of an Ad: Structured Indexing and Retrieval for Sponsored Search" In Proceedings of WWW 2010 [pdf]
- M. Bendersky, D. Metzler and W. B. Croft: "Learning Concept Importance Using a Weighted Dependence Model" In Proceedings of WSDM 2010 [pdf] [video]
2009
- M. Bendersky, O. Kurland: "Utilizing Passage-Based Language Models for Ad Hoc Document Retrieval" Journal of Information Retrieval (Online Date: November, 2009) [SpringerLink]
- E. Krikon, O. Kurland and M. Bendersky: "Utilizing Inter-Passage and Inter-Document Similarities for Re-ranking Search Results" In Proceedings of CIKM 2009 [pdf]
- M. Bendersky, K. Church: "Priors in Web Search" Learning to Rank for Information Retrieval Workshop, SIGIR 2009 [pdf]
- M. Bendersky, W. B. Croft, D. A. Smith: "Two-Stage Query Segmentation for Information Retrieval" In Proceedings of SIGIR 2009 [pdf]
- M. Bendersky, W. B. Croft: "Finding Text Reuse on the Web" In Proceedings of WSDM 2009 [pdf][video]
- M. Bendersky, W. B. Croft: "Analysis of Long Queries in a Large Scale Search Log" Workshop on Web Search Click Data, WSDM 2009 [pdf] [video] [Top Search Marketing and Social Media Project, 2009]
2008
- M. A. Cartright, M. Bendersky: "Towards Scalable Data-Driven Authorship Attribution" CIIR Technical Report [pdf]
- M. Bendersky, O.Kurland: "Re-ranking Search Results Using Document-Passage Graphs" In Proceedings of SIGIR 2008 [pdf]
- M. Bendersky, W. B. Croft: "Discovering Key Concepts in Verbose Queries" In Proceedings of SIGIR 2008 [pdf]
- M. Bendersky, O.Kurland: "Utilizing Passage-Based Language Models for Document Retrieval" In Proceedings of ECIR 2008 [pdf]
2007
- M. Bendersky "Passage Language Models in Ad Hoc Document Retrieval" Master Thesis, Tech. Report IE/IS-2007-04 [pdf]