Marc Najork
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
81
Venues
20
Active years
1993–2025
Best venue rank
A*
Where they publish
Papers
81 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | KDD | Generative Information Retrieval. | Marc Najork |
| 2024 | KDD | Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. | Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang |
| 2023 | CIKM | 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 |
| 2023 | EMNLP | Creator Context for Tweet Recommendation. | Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork, Matt Colen, Sergey Levi, Vladimir Ofitserov, Tanvir Amin |
| 2023 | EMNLP | DSI++: Updating Transformer Memory with New Documents. | Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler |
| 2023 | KDD | End-to-End Query Term Weighting. | 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 |
| 2023 | KDD | Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. | Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2023 | WWW | Job Type Extraction for Service Businesses. | Cheng Li, Yaping Qi, Hayk Zakaryan, Mingyang Zhang, Michael Bendersky, Yonghua Wu, Marc Najork |
| 2023 | WWW | STRUM: Extractive Aspect-Based Contrastive Summarization. | Beliz Gunel, Sandeep Tata, Marc Najork |
| 2023 | WWW | "Why is this misleading?": Detecting News Headline Hallucinations with Explanations. | Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Mike Bendersky, Marc Najork |
| 2023 | SIGIR | Generative Information Retrieval. | Marc Najork |
| 2022 | ECIR | Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models. | Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork |
| 2022 | KDD | Rax: Composable Learning-to-Rank Using JAX. | Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork |
| 2022 | KDD | Scale Calibration of Deep Ranking Models. | Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2022 | SIGIR | On Optimizing Top-K Metrics for Neural Ranking Models. | Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2022 | SIGIR | Revisiting Two-tower Models for Unbiased Learning to Rank. | Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2022 | WSDM | Search and Discovery in Personal Email Collections. | Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler |
| 2021 | CIKM | Natural Language Understanding with Privacy-Preserving BERT. | Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork |
| 2021 | ICLR | Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? | Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2021 | ICTIR | Ensemble Distillation for BERT-Based Ranking Models. | Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2021 | KDD | Bootstrapping Recommendations at Chrome Web Store. | Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2021 | KDD | Dynamic Language Models for Continuously Evolving Content. | Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork |
| 2021 | KDD | Scalable Hierarchical Agglomerative Clustering. | Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gkhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu |
| 2021 | SIGIR | WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. | Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork |
| 2021 | WSDM | Improving Cloud Storage Search with User Activity. | Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork |
| 2020 | ACL | Representation Learning for Information Extraction from Form-like Documents. | Bodhisattwa Prasad Majumder, Navneet Potti, Sandeep Tata, James Bradley Wendt, Qi Zhao, Marc Najork |
| 2020 | CIDR | Migrating a Privacy-Safe Information Extraction System to a Software 2.0 Design. | Ying Sheng, Nguyen Vo, James B. Wendt, Sandeep Tata, Marc Najork |
| 2020 | CIKM | 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 |
| 2020 | EMNLP | DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling. | Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh |
| 2020 | ICTIR | Permutation Equivariant Document Interaction Network for Neural Learning to Rank. | Rama Kumar Pasumarthi, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2020 | KDD | Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs. | Weize Kong, Michael Bendersky, Marc Najork, Brandon Vargo, Mike Colagrosso |
| 2020 | WWW | Adversarial Bandits Policy for Crawling Commercial Web Content. | Shuguang Han, Michael Bendersky, Przemek Gajda, Sergey Novikov, Marc Najork, Bernhard Brodowsky, Alexandrin Popescul |
| 2020 | SIGIR | Feature Transformation for Neural Ranking Models. | Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2020 | WSDM | A Stochastic Treatment of Learning to Rank Scoring Functions. | Sebastian Bruch, Shuguang Han, Michael Bendersky, Marc Najork |
| 2019 | ICTIR | Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks. | Qingyao Ai, Xuanhui Wang, Sebastian Bruch, Nadav Golbandi, Michael Bendersky, Marc Najork |
| 2019 | ICTIR | An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance. | Sebastian Bruch, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2019 | KDD | TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. | Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf |
| 2019 | WWW | Addressing Trust Bias for Unbiased Learning-to-Rank. | Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork |
| 2019 | WWW | Predictive Crawling for Commercial Web Content. | Shuguang Han, Bernhard Brodowsky, Przemek Gajda, Sergey Novikov, Mike Bendersky, Marc Najork, Robin Dua, Alexandrin Popescul |
| 2019 | WWW | Semantic Text Matching for Long-Form Documents. | Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi, Marc Najork |
| 2019 | WWW | RiSER: Learning Better Representations for Richly Structured Emails. | Furkan Kocayusufoglu, Ying Sheng, Nguyen Vo, James B. Wendt, Qi Zhao, Sandeep Tata, Marc Najork |
| 2019 | SIGIR | Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks. | Sebastian Bruch, Masrour Zoghi, Michael Bendersky, Marc Najork |
| 2019 | SIGIR | Multi-view Embedding-based Synonyms for Email Search. | Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork |
| 2019 | WSDM | Estimating Position Bias without Intrusive Interventions. | Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims |
| 2019 | WSDM | Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models. | Manzil Zaheer, Amr Ahmed, Yuan Wang, Daniel Silva, Marc Najork, Yuchen Wu, Shibani Sanan, Surojit Chatterjee |
| 2018 | CIKM | The LambdaLoss Framework for Ranking Metric Optimization. | Xuanhui Wang, Cheng Li, Nadav Golbandi, Michael Bendersky, Marc Najork |
| 2018 | IJCAI | Learning with Sparse and Biased Feedback for Personal Search. | Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler |
| 2018 | KDD | Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email. | Ying Sheng, Sandeep Tata, James B. Wendt, Jing Xie, Qi Zhao, Marc Najork |
| 2018 | WWW | Hidden in Plain Sight: Classifying Emails Using Embedded Image Contents. | Navneet Potti, James B. Wendt, Qi Zhao, Sandeep Tata, Marc Najork |
| 2018 | SIGIR | Semantic Location in Email Query Suggestion. | John Foley, Mingyang Zhang, Michael Bendersky, Marc Najork |
| 2018 | WSDM | Position Bias Estimation for Unbiased Learning to Rank in Personal Search. | Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Donald Metzler, Marc Najork |
| 2017 | KDD | Quick Access: Building a Smart Experience for Google Drive. | Sandeep Tata, Alexandrin Popescul, Marc Najork, Mike Colagrosso, Julian Gibbons, Alan Green, Alexandre Mah, Michael Smith, Divanshu Garg, Cayden Meyer, Reuben Kan |
| 2017 | WWW | Email Category Prediction. | Aston Zhang, Lluis Garcia Pueyo, James B. Wendt, Marc Najork, Andrei Z. Broder |
| 2017 | WSDM | Learning from User Interactions in Personal Search via Attribute Parameterization. | Michael Bendersky, Xuanhui Wang, Donald Metzler, Marc Najork |
| 2016 | CIKM | Using Machine Learning to Improve the Email Experience. | Marc Najork |
| 2016 | SIGIR | Learning to Rank with Selection Bias in Personal Search. | Xuanhui Wang, Michael Bendersky, Donald Metzler, Marc Najork |
| 2013 | HCOMP | A Human-Centered Framework for Ensuring Reliability on Crowdsourced Labeling Tasks. | Omar Alonso, Catherine C. Marshall, Marc Najork |
| 2013 | WSDM | Robust query rewriting using anchor data. | Nick Craswell, Bodo Billerbeck, Dennis Fetterly, Marc Najork |
| 2012 | SIGIR | Detecting quilted web pages at scale. | Marc Najork |
| 2012 | WSDM | Of hammers and nails: an empirical comparison of three paradigms for processing large graphs. | Marc Najork, Dennis Fetterly, Alan Halverson, Krishnaram Kenthapadi, Sreenivas Gollapudi |
| 2012 | WSDM | How user behavior is related to social affinity. | Rina Panigrahy, Marc Najork, Yinglian Xie |
| 2011 | ECIR | The Power of Peers. | Nick Craswell, Dennis Fetterly, Marc Najork |
| 2010 | WSDM | A sketch-based distance oracle for web-scale graphs. | Atish Das Sarma, Sreenivas Gollapudi, Marc Najork, Rina Panigrahy |
| 2010 | SPIRE | Querying the Web Graph - (Invited Talk). | Marc Najork |
| 2009 | WSDM | Less is more: sampling the neighborhood graph makes SALSA better and faster. | Marc Najork, Sreenivas Gollapudi, Rina Panigrahy |
| 2008 | CIKM | Efficient and effective link analysis with precomputed salsa maps. | Marc Najork, Nick Craswell |
| 2008 | ECIR | Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores. | Frank McSherry, Marc Najork |
| 2007 | CIKM | Comparing the effectiveness of hits and salsa. | Marc Najork |
| 2007 | SIGIR | Hits on the web: how does it compare? | Marc Najork, Hugo Zaragoza, Michael J. Taylor |
| 2007 | WAW | Using Bloom Filters to Speed Up HITS-Like Ranking Algorithms. | Sreenivas Gollapudi, Marc Najork, Rina Panigrahy |
| 2006 | WWW | Detecting spam web pages through content analysis. | Alexandros Ntoulas, Marc Najork, Mark S. Manasse, Dennis Fetterly |
| 2005 | WWW | How search engines shape the web. | Byron Dom, Krishna Bharat, Andrei Z. Broder, Marc Najork, Jan O. Pedersen, Yoshinobu Tonomura |
| 2005 | SIGIR | Detecting phrase-level duplication on the world wide web. | Dennis Fetterly, Mark S. Manasse, Marc Najork |
| 2004 | OSDI | Boxwood: Abstractions as the Foundation for Storage Infrastructure. | John MacCormick, Nick Murphy, Marc Najork, Chandramohan A. Thekkath, Lidong Zhou |
| 2003 | WWW | Efficient URL caching for world wide web crawling. | Andrei Z. Broder, Marc Najork, Janet L. Wiener |
| 2003 | WWW | A large-scale study of the evolution of web pages. | Dennis Fetterly, Mark S. Manasse, Marc Najork, Janet L. Wiener |
| 2001 | DAC | Web-based Algorithm Animation. | Marc Najork |
| 2001 | WWW | Breadth-first crawling yields high-quality pages. | Marc Najork, Janet L. Wiener |
| 1997 | CHI | Distributed Applets. | Marc H. Brown, Marc Najork |
| 1993 | GI | Cube: Eine dreidimensionale visuelle Programmiersprache. | Marc Najork, Simon M. Kaplan |
| 1993 | UIST | Algorithm Animation Using 3D Interactive Graphics. | Marc H. Brown, Marc Najork |