Marc Najork

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 92

Top Venues

Publications

Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. KDD (2024)
Marc Najork
Generative Information Retrieval. SIGIR (2023)
Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
DSI++: Updating Transformer Memory with New Documents. EMNLP (2023)
Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork, Matt Colen, Sergey Levi, Vladimir Ofitserov, Tanvir Amin
Creator Context for Tweet Recommendation. EMNLP (Industry Track) (2023)
Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork
Exploring the Viability of Synthetic Query Generation for Relevance Prediction. CoRR (2023)
Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Michael Bendersky, Marc Najork
"Why is this misleading?": Detecting News Headline Hallucinations with Explanations. CoRR (2023)
Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork, Matt Colen, Sergey Levi, Vladimir Ofitserov, Tanvir Amin
Creator Context for Tweet Recommendation. CoRR (2023)
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation. CoRR (2023)
Cheng Li, Yaping Qi, Hayk Zakaryan, Mingyang Zhang, Michael Bendersky, Yonghua Wu, Marc Najork
Job Type Extraction for Service Businesses. WWW (Companion Volume) (2023)
Beliz Gunel, Sandeep Tata, Marc Najork
STRUM: Extractive Aspect-Based Contrastive Summarization. WWW (Companion Volume) (2023)
Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. KDD (2023)
Karan Samel, Cheng Li, Weize Kong, Tao Chen, Mingyang Zhang, Shaleen Kumar Gupta, Swaraj Khadanga, Wensong Xu, Xingyu Wang, Kashyap Kolipaka, Michael Bendersky, Marc Najork
End-to-End Query Term Weighting. KDD (2023)
Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork
Exploring the Viability of Synthetic Query Generation for Relevance Prediction. eCom@SIGIR (2023)
Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. CIKM (2023)
Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Mike Bendersky, Marc Najork
"Why is this misleading?": Detecting News Headline Hallucinations with Explanations. WWW (2023)
Aijun Bai, Rolf Jagerman, Zhen Qin, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
Regression Compatible Listwise Objectives for Calibrated Ranking. CoRR (2022)
Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
Search and Discovery in Personal Email Collections. WSDM (2022)
Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
Scale Calibration of Deep Ranking Models. KDD (2022)
Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2. ACM Trans. Inf. Syst. 40 (3) (2022)
Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Revisiting Two-tower Models for Unbiased Learning to Rank. SIGIR (2022)
Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models. CoRR (2022)
Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua
Graph Technologies for User Modeling and Recommendation: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. 40 (2) (2022)
Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. CoRR (2022)
Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models. ECIR (1) (2022)
Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
On Optimizing Top-K Metrics for Neural Ranking Models. SIGIR (2022)
Sanket Vaibhav Mehta, Jai Prakash Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
DSI++: Updating Transformer Memory with New Documents. CoRR (2022)
Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork
Rax: Composable Learning-to-Rank Using JAX. KDD (2022)
Beliz Gunel, Navneet Potti, Sandeep Tata, James B. Wendt, Marc Najork, Jing Xie
Data-Efficient Information Extraction from Form-Like Documents. CoRR (2022)
Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Born Again Neural Rankers. CoRR (2021)
Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu
Scalable Hierarchical Agglomerative Clustering. KDD (2021)
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. KDD (2021)
Sandeep Tata, Navneet Potti, James B. Wendt, Lauro Beltrão Costa, Marc Najork, Beliz Gunel
Glean: Structured Extractions from Templatic Documents. Proc. VLDB Endow. 14 (6) (2021)
Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork
Improving Cloud Storage Search with User Activity. WSDM (2021)
Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
Search and Discovery in Personal Email Collections. Found. Trends Inf. Retr. 15 (1) (2021)
Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. SIGIR (2021)
Donald Metzler, Yi Tay, Dara Bahri, Marc Najork
Rethinking search: making domain experts out of dilettantes. SIGIR Forum 55 (1) (2021)
Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. CoRR (2021)
Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? ICLR (2021)
Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork
Natural Language Understanding with Privacy-Preserving BERT. CIKM (2021)
Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork
Dynamic Language Models for Continuously Evolving Content. KDD (2021)
Omar Alonso, Stefano Marchesin, Marc Najork, Gianmaria Silvello
Report on the 2nd international conference on design of experimental search & information retrieval systems (DESIRES 2021). SIGIR Forum 55 (2) (2021)
Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Rank4Class: A Ranking Formulation for Multiclass Classification. CoRR (2021)
Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork
Dynamic Language Models for Continuously Evolving Content. CoRR (2021)
Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork
Privacy-Adaptive BERT for Natural Language Understanding. CoRR (2021)
Donald Metzler, Yi Tay, Dara Bahri, Marc Najork
Rethinking Search: Making Experts out of Dilettantes. CoRR (2021)
Omar Alonso, Marc Najork, Gianmaria Silvello
Preface. DESIRES (2021)
Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork
Ensemble Distillation for BERT-Based Ranking Models. ICTIR (2021)
Weize Kong, Michael Bendersky, Marc Najork, Brandon Vargo, Mike Colagrosso
Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs. KDD (2020)
Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling. CoRR (2020)
Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching. CoRR (2020)
Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching. CIKM (2020)
Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu
Scalable Bottom-Up Hierarchical Clustering. CoRR (2020)
Sebastian Bruch, Shuguang Han, Michael Bendersky, Marc Najork
A Stochastic Treatment of Learning to Rank Scoring Functions. WSDM (2020)
Ying Sheng, Nguyen Vo, James B. Wendt, Sandeep Tata, Marc Najork
Migrating a Privacy-Safe Information Extraction System to a Software 2.0 Design. CIDR (2020)
Saar Kuzi, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach. CoRR (2020)
Bodhisattwa Prasad Majumder, Navneet Potti, Sandeep Tata, James Bradley Wendt, Qi Zhao, Marc Najork
Representation Learning for Information Extraction from Form-like Documents. ACL (2020)
Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Feature Transformation for Neural Ranking Models. SIGIR (2020)
Rama Kumar Pasumarthi, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Permutation Equivariant Document Interaction Network for Neural Learning to Rank. ICTIR (2020)
Shuguang Han, Xuanhui Wang, Mike Bendersky, Marc Najork
Learning-to-Rank with BERT in TF-Ranking. CoRR (2020)
Shuguang Han, Michael Bendersky, Przemek Gajda, Sergey Novikov, Marc Najork, Bernhard Brodowsky, Alexandrin Popescul
Adversarial Bandits Policy for Crawling Commercial Web Content. WWW (2020)
Abbas Kazerouni, Qi Zhao, Jing Xie, Sandeep Tata, Marc Najork
Active Learning for Skewed Data Sets. CoRR (2020)
Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling. EMNLP (Findings) (2020)
Michael J. Whittaker, Nick Edmonds, Sandeep Tata, James B. Wendt, Marc Najork
Online Template Induction for Machine-Generated Emails. Proc. VLDB Endow. 12 (11) (2019)
Qingyao Ai, Xuanhui Wang, Sebastian Bruch, Nadav Golbandi, Michael Bendersky, Marc Najork
Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks. ICTIR (2019)
Sebastian Bruch, Masrour Zoghi, Michael Bendersky, Marc Najork
Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks. SIGIR (2019)
Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork
Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking. CoRR (2019)
Sebastian Bruch, Xuanhui Wang, Michael Bendersky, Marc Najork
An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance. ICTIR (2019)
Shuguang Han, Bernhard Brodowsky, Przemek Gajda, Sergey Novikov, Mike Bendersky, Marc Najork, Robin Dua, Alexandrin Popescul
Predictive Crawling for Commercial Web Content. WWW (2019)
Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. KDD (2019)
Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims
Estimating Position Bias without Intrusive Interventions. WSDM (2019)
Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork
Addressing Trust Bias for Unbiased Learning-to-Rank. WWW (2019)
Manzil Zaheer, Amr Ahmed, Yuan Wang, Daniel Silva, Marc Najork, Yuchen Wu, Shibani Sanan, Surojit Chatterjee
Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models. WSDM (2019)
Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork
Multi-view Embedding-based Synonyms for Email Search. SIGIR (2019)
Furkan Kocayusufoglu, Ying Sheng, Nguyen Vo, James B. Wendt, Qi Zhao, Sandeep Tata, Marc Najork
RiSER: Learning Better Representations for Richly Structured Emails. WWW (2019)
Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi, Marc Najork
Semantic Text Matching for Long-Form Documents. WWW (2019)
Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims
Estimating Position Bias without Intrusive Interventions. CoRR (2018)
Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork
Offline Comparison of Ranking Functions using Randomized Data. CoRR (2018)
Yu Sun, Lluis Garcia Pueyo, James B. Wendt, Marc Najork, Andrei Z. Broder
Learning Effective Embeddings for Machine Generated Emails with Applications to Email Category Prediction. IEEE BigData (2018)
Ying Sheng, Sandeep Tata, James B. Wendt, Jing Xie, Qi Zhao, Marc Najork
Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email. KDD (2018)
Xuanhui Wang, Cheng Li, Nadav Golbandi, Michael Bendersky, Marc Najork
The LambdaLoss Framework for Ranking Metric Optimization. CIKM (2018)
Qingyao Ai, Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Marc Najork
Learning Groupwise Scoring Functions Using Deep Neural Networks. CoRR (2018)
Navneet Potti, James B. Wendt, Qi Zhao, Sandeep Tata, Marc Najork
Hidden in Plain Sight: Classifying Emails Using Embedded Image Contents. WWW (2018)
John Foley, Mingyang Zhang, Michael Bendersky, Marc Najork
Semantic Location in Email Query Suggestion. SIGIR (2018)
Rama Kumar Pasumarthi, Xuanhui Wang, Cheng Li, Sebastian Bruch, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. CoRR (2018)
Marc Najork
Training On-Device Ranking Models from Cross-User Interactions in a Privacy-Preserving Fashion. DESIRES (2018)
Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Donald Metzler, Marc Najork
Position Bias Estimation for Unbiased Learning to Rank in Personal Search. WSDM (2018)
Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
Learning with Sparse and Biased Feedback for Personal Search. IJCAI (2018)
Aston Zhang, Lluis Garcia Pueyo, James B. Wendt, Marc Najork, Andrei Z. Broder
Email Category Prediction. WWW (Companion Volume) (2017)
Sandeep Tata, Alexandrin Popescul, Marc Najork, Mike Colagrosso, Julian Gibbons, Alan Green, Alexandre Mah, Michael Smith, Divanshu Garg, Cayden Meyer, Reuben Kan
Quick Access: Building a Smart Experience for Google Drive. KDD (2017)
Michael Bendersky, Xuanhui Wang, Donald Metzler, Marc Najork
Learning from User Interactions in Personal Search via Attribute Parameterization. WSDM (2017)
Marc Najork
Using Machine Learning to Improve the Email Experience. CIKM (2016)
Xuanhui Wang, Michael Bendersky, Donald Metzler, Marc Najork
Learning to Rank with Selection Bias in Personal Search. SIGIR (2016)
Omar Alonso, Catherine C. Marshall, Marc Najork
Debugging a Crowdsourced Task with Low Inter-Rater Agreement. JCDL (2015)
Nick Craswell, Bodo Billerbeck, Dennis Fetterly, Marc Najork
Robust query rewriting using anchor data. WSDM (2013)
Omar Alonso, Catherine C. Marshall, Marc Najork
Are Some Tweets More Interesting Than Others? #HardQuestion. HCIR (2013)
Moisés Goldszmidt, Marc Najork, Stelios Paparizos
Boot-Strapping Language Identifiers for Short Colloquial Postings. ECML/PKDD (2) (2013)
Omar Alonso, Catherine C. Marshall, Marc Najork
A Human-Centered Framework for Ensuring Reliability on Crowdsourced Labeling Tasks. HCOMP (Works in Progress / Demos) (2013)
Helen Ashman, Arun Iyengar, Marc Najork
Editorial. ACM Trans. Web 6 (2) (2012)
Rina Panigrahy, Marc Najork, Yinglian Xie
How user behavior is related to social affinity. WSDM (2012)
Marc Najork, Dennis Fetterly, Alan Halverson, Krishnaram Kenthapadi, Sreenivas Gollapudi
Of hammers and nails: an empirical comparison of three paradigms for processing large graphs. WSDM (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marc Najork