Marc Najork - RankMe

166 papers A* 44A 25C 2Misc 4Journal 50Unranked 31

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Generative Information Retrieval. KDD (2) Marc Najork
2025	J	`jnl`	Introduction to the "Best Papers of WSDM 2023" Special Issue. ACM Trans. Intell. Syst. Technol. Hady W. Lauw, Marc Najork, Evimaria Terzi, Panayiotis Tsaparas
2025	A	`ed.`	Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025 WSDM Wolfgang Nejdl, Sören Auer, Meeyoung Cha, Marie-Francine Moens, Marc Najork
2024	A*	`conf`	Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. KDD Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
2024	—	`ch.`	Searching Personal Collections. Information Retrieval: Advanced Topics and Techniques Michael Bendersky, Donald Metzler, Marc Najork, Xuanhui Wang
2024	J	`jnl`	Searching Personal Collections. CoRR Michael Bendersky, Donald Metzler, Marc Najork, Xuanhui Wang
2023	A*	`conf`	"Why is this misleading?": Detecting News Headline Hallucinations with Explanations. WWW Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Mike Bendersky, Marc Najork
2023	J	`jnl`	"Why is this misleading?": Detecting News Headline Hallucinations with Explanations. CoRR Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Michael Bendersky, Marc Najork
2023	—	`conf`	Creator Context for Tweet Recommendation. EMNLP (Industry Track) Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork, Matt Colen, Sergey Levi, Vladimir Ofitserov, Tanvir Amin
2023	J	`jnl`	Creator Context for Tweet Recommendation. CoRR Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork, Matt Colen, Sergey Levi, Vladimir Ofitserov, Tanvir Amin
2023	A*	`conf`	DSI++: Updating Transformer Memory with New Documents. EMNLP Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
2023	J	`jnl`	Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation. CoRR Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
2023	A*	`conf`	End-to-End Query Term Weighting. KDD 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	—	`conf`	Exploring the Viability of Synthetic Query Generation for Relevance Prediction. eCom@SIGIR Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork
2023	J	`jnl`	Exploring the Viability of Synthetic Query Generation for Relevance Prediction. CoRR Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork
2023	A*	`conf`	Generative Information Retrieval. SIGIR Marc Najork
2023	—	`conf`	Job Type Extraction for Service Businesses. WWW (Companion Volume) Cheng Li, Yaping Qi, Hayk Zakaryan, Mingyang Zhang, Michael Bendersky, Yonghua Wu, Marc Najork
2023	A	`conf`	Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. CIKM Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
2023	—	`conf`	STRUM: Extractive Aspect-Based Contrastive Summarization. WWW (Companion Volume) Beliz Gunel, Sandeep Tata, Marc Najork
2023	A*	`conf`	Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. KDD Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	J	`jnl`	DSI++: Updating Transformer Memory with New Documents. CoRR Sanket Vaibhav Mehta, Jai Prakash Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
2022	J	`jnl`	Data-Efficient Information Extraction from Form-Like Documents. CoRR Beliz Gunel, Navneet Potti, Sandeep Tata, James B. Wendt, Marc Najork, Jing Xie
2022	J	`jnl`	Graph Technologies for User Modeling and Recommendation: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua
2022	J	`jnl`	Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2. ACM Trans. Inf. Syst. Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua
2022	A*	`conf`	On Optimizing Top-K Metrics for Neural Ranking Models. SIGIR Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	—	`conf`	Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models. ECIR (1) Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork
2022	J	`jnl`	Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models. CoRR Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork
2022	A*	`conf`	Rax: Composable Learning-to-Rank Using JAX. KDD Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork
2022	J	`jnl`	Regression Compatible Listwise Objectives for Calibrated Ranking. CoRR Aijun Bai, Rolf Jagerman, Zhen Qin, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	A*	`conf`	Revisiting Two-tower Models for Unbiased Learning to Rank. SIGIR Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	A*	`conf`	Scale Calibration of Deep Ranking Models. KDD Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	A	`conf`	Search and Discovery in Personal Email Collections. WSDM Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
2022	J	`jnl`	Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. CoRR Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	A*	`conf`	Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? ICLR Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	A*	`conf`	Bootstrapping Recommendations at Chrome Web Store. KDD Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Born Again Neural Rankers. CoRR Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	—	`ed.`	Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. WWW (Companion Volume) Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia
2021	A*	`conf`	Dynamic Language Models for Continuously Evolving Content. KDD Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Dynamic Language Models for Continuously Evolving Content. CoRR Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork
2021	Misc	`conf`	Ensemble Distillation for BERT-Based Ranking Models. ICTIR Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Glean: Structured Extractions from Templatic Documents. Proc. VLDB Endow. Sandeep Tata, Navneet Potti, James B. Wendt, Lauro Beltrão Costa, Marc Najork, Beliz Gunel
2021	A	`conf`	Improving Cloud Storage Search with User Activity. WSDM Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork
2021	A	`conf`	Natural Language Understanding with Privacy-Preserving BERT. CIKM Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork
2021	—	`conf`	Preface. DESIRES Omar Alonso, Marc Najork, Gianmaria Silvello
2021	J	`jnl`	Privacy-Adaptive BERT for Natural Language Understanding. CoRR Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork
2021	—	`ed.`	Proceedings of the Second International Conference on Design of Experimental Search & Information REtrieval Systems, Padova, Italy, September 15-18, 2021. DESIRES Omar Alonso, Stefano Marchesin, Marc Najork, Gianmaria Silvello
2021	J	`jnl`	Rank4Class: A Ranking Formulation for Multiclass Classification. CoRR Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Report on the 2nd international conference on design of experimental search & information retrieval systems (DESIRES 2021). SIGIR Forum Omar Alonso, Stefano Marchesin, Marc Najork, Gianmaria Silvello
2021	J	`jnl`	Rethinking Search: Making Experts out of Dilettantes. CoRR Donald Metzler, Yi Tay, Dara Bahri, Marc Najork
2021	J	`jnl`	Rethinking search: making domain experts out of dilettantes. SIGIR Forum Donald Metzler, Yi Tay, Dara Bahri, Marc Najork
2021	A*	`conf`	Scalable Hierarchical Agglomerative Clustering. KDD 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
2021	J	`jnl`	Search and Discovery in Personal Email Collections. Found. Trends Inf. Retr. Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
2021	A*	`conf`	WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. SIGIR Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork
2021	J	`jnl`	WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. CoRR Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork
2021	A*	`ed.`	WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. WWW Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia
2020	A	`conf`	A Stochastic Treatment of Learning to Rank Scoring Functions. WSDM Sebastian Bruch, Shuguang Han, Michael Bendersky, Marc Najork
2020	J	`jnl`	Active Learning for Skewed Data Sets. CoRR Abbas Kazerouni, Qi Zhao, Jing Xie, Sandeep Tata, Marc Najork
2020	A*	`conf`	Adversarial Bandits Policy for Crawling Commercial Web Content. WWW Shuguang Han, Michael Bendersky, Przemek Gajda, Sergey Novikov, Marc Najork, Bernhard Brodowsky, Alexandrin Popescul
2020	J	`jnl`	Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching. CoRR Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
2020	A	`conf`	Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching. CIKM Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
2020	J	`jnl`	DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling. CoRR Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
2020	—	`conf`	DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling. EMNLP (Findings) Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
2020	A*	`conf`	Feature Transformation for Neural Ranking Models. SIGIR Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2020	A*	`conf`	Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs. KDD Weize Kong, Michael Bendersky, Marc Najork, Brandon Vargo, Mike Colagrosso
2020	J	`jnl`	Learning-to-Rank with BERT in TF-Ranking. CoRR Shuguang Han, Xuanhui Wang, Mike Bendersky, Marc Najork
2020	J	`jnl`	Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach. CoRR Saar Kuzi, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
2020	A	`conf`	Migrating a Privacy-Safe Information Extraction System to a Software 2.0 Design. CIDR Ying Sheng, Nguyen Vo, James B. Wendt, Sandeep Tata, Marc Najork
2020	Misc	`conf`	Permutation Equivariant Document Interaction Network for Neural Learning to Rank. ICTIR Rama Kumar Pasumarthi, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2020	A*	`conf`	Representation Learning for Information Extraction from Form-like Documents. ACL Bodhisattwa Prasad Majumder, Navneet Potti, Sandeep Tata, James Bradley Wendt, Qi Zhao, Marc Najork
2020	J	`jnl`	Scalable Bottom-Up Hierarchical Clustering. CoRR Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu
2019	A*	`conf`	Addressing Trust Bias for Unbiased Learning-to-Rank. WWW Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork
2019	Misc	`conf`	An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance. ICTIR Sebastian Bruch, Xuanhui Wang, Michael Bendersky, Marc Najork
2019	A	`conf`	Estimating Position Bias without Intrusive Interventions. WSDM Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims
2019	Misc	`conf`	Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks. ICTIR Qingyao Ai, Xuanhui Wang, Sebastian Bruch, Nadav Golbandi, Michael Bendersky, Marc Najork
2019	A*	`conf`	Multi-view Embedding-based Synonyms for Email Search. SIGIR Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork
2019	J	`jnl`	Online Template Induction for Machine-Generated Emails. Proc. VLDB Endow. Michael J. Whittaker, Nick Edmonds, Sandeep Tata, James B. Wendt, Marc Najork
2019	A*	`conf`	Predictive Crawling for Commercial Web Content. WWW Shuguang Han, Bernhard Brodowsky, Przemek Gajda, Sergey Novikov, Mike Bendersky, Marc Najork, Robin Dua, Alexandrin Popescul
2019	A*	`conf`	Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks. SIGIR Sebastian Bruch, Masrour Zoghi, Michael Bendersky, Marc Najork
2019	A*	`conf`	RiSER: Learning Better Representations for Richly Structured Emails. WWW Furkan Kocayusufoglu, Ying Sheng, Nguyen Vo, James B. Wendt, Qi Zhao, Sandeep Tata, Marc Najork
2019	J	`jnl`	Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking. CoRR Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork
2019	A*	`conf`	Semantic Text Matching for Long-Form Documents. WWW Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi, Marc Najork
2019	A*	`conf`	TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. KDD Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf
2019	A	`conf`	Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models. WSDM Manzil Zaheer, Amr Ahmed, Yuan Wang, Daniel Silva, Marc Najork, Yuchen Wu, Shibani Sanan, Surojit Chatterjee
2018	A*	`conf`	Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email. KDD Ying Sheng, Sandeep Tata, James B. Wendt, Jing Xie, Qi Zhao, Marc Najork
2018	J	`jnl`	Estimating Position Bias without Intrusive Interventions. CoRR Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims
2018	A*	`conf`	Hidden in Plain Sight: Classifying Emails Using Embedded Image Contents. WWW Navneet Potti, James B. Wendt, Qi Zhao, Sandeep Tata, Marc Najork
2018	—	`conf`	Learning Effective Embeddings for Machine Generated Emails with Applications to Email Category Prediction. IEEE BigData Yu Sun, Lluis Garcia Pueyo, James B. Wendt, Marc Najork, Andrei Z. Broder
2018	J	`jnl`	Learning Groupwise Scoring Functions Using Deep Neural Networks. CoRR Qingyao Ai, Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Marc Najork
2018	A*	`conf`	Learning with Sparse and Biased Feedback for Personal Search. IJCAI Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
2018	J	`jnl`	Offline Comparison of Ranking Functions using Randomized Data. CoRR Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork
2018	A	`conf`	Position Bias Estimation for Unbiased Learning to Rank in Personal Search. WSDM Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Donald Metzler, Marc Najork
2018	A*	`conf`	Semantic Location in Email Query Suggestion. SIGIR John Foley, Mingyang Zhang, Michael Bendersky, Marc Najork
2018	J	`jnl`	TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. CoRR Rama Kumar Pasumarthi, Xuanhui Wang, Cheng Li, Sebastian Bruch, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf
2018	A	`conf`	The LambdaLoss Framework for Ranking Metric Optimization. CIKM Xuanhui Wang, Cheng Li, Nadav Golbandi, Michael Bendersky, Marc Najork
2018	—	`conf`	Training On-Device Ranking Models from Cross-User Interactions in a Privacy-Preserving Fashion. DESIRES Marc Najork
2018	—	`ch.`	Web Crawler Architecture. Encyclopedia of Database Systems (2nd ed.) Marc Najork
2018	—	`ch.`	Web Search Relevance Ranking. Encyclopedia of Database Systems (2nd ed.) Hugo Zaragoza, Marc Najork
2018	—	`ch.`	Web Spam Detection. Encyclopedia of Database Systems (2nd ed.) Marc Najork
2017	—	`conf`	Email Category Prediction. WWW (Companion Volume) Aston Zhang, Lluis Garcia Pueyo, James B. Wendt, Marc Najork, Andrei Z. Broder
2017	A	`conf`	Learning from User Interactions in Personal Search via Attribute Parameterization. WSDM Michael Bendersky, Xuanhui Wang, Donald Metzler, Marc Najork
2017	A*	`conf`	Quick Access: Building a Smart Experience for Google Drive. KDD Sandeep Tata, Alexandrin Popescul, Marc Najork, Mike Colagrosso, Julian Gibbons, Alan Green, Alexandre Mah, Michael Smith, Divanshu Garg, Cayden Meyer, Reuben Kan
2016	A*	`conf`	Learning to Rank with Selection Bias in Personal Search. SIGIR Xuanhui Wang, Michael Bendersky, Donald Metzler, Marc Najork
2016	A	`conf`	Using Machine Learning to Improve the Email Experience. CIKM Marc Najork
2015	—	`conf`	Debugging a Crowdsourced Task with Low Inter-Rater Agreement. JCDL Omar Alonso, Catherine C. Marshall, Marc Najork
2013	—	`conf`	A Human-Centered Framework for Ensuring Reliability on Crowdsourced Labeling Tasks. HCOMP (Works in Progress / Demos) Omar Alonso, Catherine C. Marshall, Marc Najork
2013	—	`conf`	Are Some Tweets More Interesting Than Others? #HardQuestion. HCIR Omar Alonso, Catherine C. Marshall, Marc Najork
2013	—	`conf`	Boot-Strapping Language Identifiers for Short Colloquial Postings. ECML/PKDD (2) Moisés Goldszmidt, Marc Najork, Stelios Paparizos
2013	A	`conf`	Robust query rewriting using anchor data. WSDM Nick Craswell, Bodo Billerbeck, Dennis Fetterly, Marc Najork
2012	A*	`conf`	Detecting quilted web pages at scale. SIGIR Marc Najork
2012	J	`jnl`	Editorial. ACM Trans. Web Helen Ashman, Arun Iyengar, Marc Najork
2012	A	`conf`	How user behavior is related to social affinity. WSDM Rina Panigrahy, Marc Najork, Yinglian Xie
2012	A	`conf`	Of hammers and nails: an empirical comparison of three paradigms for processing large graphs. WSDM Marc Najork, Dennis Fetterly, Alan Halverson, Krishnaram Kenthapadi, Sreenivas Gollapudi
2011	—	`conf`	Microsoft Research at TREC 2011 Web Track. TREC Bodo Billerbeck, Nick Craswell, Dennis Fetterly, Marc Najork
2011	A	`conf`	The Power of Peers. ECIR Nick Craswell, Dennis Fetterly, Marc Najork
2010	A	`conf`	A sketch-based distance oracle for web-scale graphs. WSDM Atish Das Sarma, Sreenivas Gollapudi, Marc Najork, Rina Panigrahy
2010	—	`conf`	Microsoft Research at TREC 2010 Web Track. TREC Nick Craswell, Dennis Fetterly, Marc Najork
2010	C	`conf`	Querying the Web Graph - (Invited Talk). SPIRE Marc Najork
2010	J	`jnl`	Web Crawling. Found. Trends Inf. Retr. Christopher Olston, Marc Najork
2009	A	`conf`	Less is more: sampling the neighborhood graph makes SALSA better and faster. WSDM Marc Najork, Sreenivas Gollapudi, Rina Panigrahy
2009	—	`conf`	Microsoft Research at TREC 2009: Web and Relevance Feedback Track. TREC Nick Craswell, Dennis Fetterly, Marc Najork, Stephen Robertson, Emine Yilmaz
2009	—	`conf`	The scalable hyperlink store. Hypertext Marc Najork
2009	—	`ch.`	Web Crawler Architecture. Encyclopedia of Database Systems Marc Najork
2009	—	`ch.`	Web Search Relevance Ranking. Encyclopedia of Database Systems Hugo Zaragoza, Marc Najork
2009	—	`ch.`	Web Spam Detection. Encyclopedia of Database Systems Marc Najork
2008	A	`conf`	Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores. ECIR Frank McSherry, Marc Najork
2008	A	`conf`	Efficient and effective link analysis with precomputed salsa maps. CIKM Marc Najork, Nick Craswell
2008	J	`jnl`	Introduction to special section on adversarial issues in Web search. ACM Trans. Web Marc Najork, Brian D. Davison
2008	A	`ed.`	Proceedings of the International Conference on Web Search and Web Data Mining, WSDM 2008, Palo Alto, California, USA, February 11-12, 2008 WSDM Marc Najork, Andrei Z. Broder, Soumen Chakrabarti
2007	A	`conf`	Comparing the effectiveness of hits and salsa. CIKM Marc Najork
2007	A*	`conf`	Hits on the web: how does it compare? SIGIR Marc Najork, Hugo Zaragoza, Michael J. Taylor
2007	C	`conf`	Using Bloom Filters to Speed Up HITS-Like Ranking Algorithms. WAW Sreenivas Gollapudi, Marc Najork, Rina Panigrahy
2006	J	`jnl`	Adversarial information retrieval on the web (AIRWeb 2006). SIGIR Forum Brian D. Davison, Marc Najork, Tim Converse
2006	A*	`conf`	Detecting spam web pages through content analysis. WWW Alexandros Ntoulas, Marc Najork, Mark S. Manasse, Dennis Fetterly
2005	A*	`conf`	Detecting phrase-level duplication on the world wide web. SIGIR Dennis Fetterly, Mark S. Manasse, Marc Najork
2005	—	`conf`	How search engines shape the web. WWW (Special interest tracks and posters) Byron Dom, Krishna Bharat, Andrei Z. Broder, Marc Najork, Jan O. Pedersen, Yoshinobu Tonomura
2004	J	`jnl`	A large-scale study of the evolution of Web pages. Softw. Pract. Exp. Dennis Fetterly, Mark S. Manasse, Marc Najork, Janet L. Wiener
2004	A*	`conf`	Boxwood: Abstractions as the Foundation for Storage Infrastructure. OSDI John MacCormick, Nick Murphy, Marc Najork, Chandramohan A. Thekkath, Lidong Zhou
2004	J	`jnl`	On The Evolution of Clusters of Near-Duplicate Web Pages. J. Web Eng. Dennis Fetterly, Mark S. Manasse, Marc Najork
2004	—	`ed.`	Proceedings of the 13th international conference on World Wide Web - Alternate Track Papers & Posters, WWW 2004, New York, NY, USA, May 17-20, 2004 WWW (Alternate Track Papers & Posters) Stuart I. Feldman, Mike Uretsky, Marc Najork, Craig E. Wills
2004	A*	`ed.`	Proceedings of the 13th international conference on World Wide Web, WWW 2004, New York, NY, USA, May 17-20, 2004 WWW Stuart I. Feldman, Mike Uretsky, Marc Najork, Craig E. Wills
2004	—	`conf`	Spam, Damn Spam, and Statistics: Using Statistical Analysis to Locate Spam Web Pages. WebDB Dennis Fetterly, Mark S. Manasse, Marc Najork
2003	A*	`conf`	A large-scale study of the evolution of web pages. WWW Dennis Fetterly, Mark S. Manasse, Marc Najork, Janet L. Wiener
2003	A*	`conf`	Efficient URL caching for world wide web crawling. WWW Andrei Z. Broder, Marc Najork, Janet L. Wiener
2003	—	`conf`	On the Evolution of Clusters of Near-Duplicate Web Pages. LA-WEB Dennis Fetterly, Mark S. Manasse, Marc Najork
2001	A*	`conf`	Breadth-first crawling yields high-quality pages. WWW Marc Najork, Janet L. Wiener
2001	A*	`conf`	Web-based Algorithm Animation. DAC Marc Najork
2000	J	`jnl`	On near-uniform URL sampling. Comput. Networks Monika Rauch Henzinger, Allan Heydon, Michael Mitzenmacher, Marc Najork
2000	J	`jnl`	Performance limitations of the Java core libraries. Concurr. Pract. Exp. Allan Heydon, Marc Najork
1999	J	`jnl`	Measuring Index Quality Using Random Walks on the Web. Comput. Networks Monika Rauch Henzinger, Allan Heydon, Michael Mitzenmacher, Marc Najork
1999	J	`jnl`	Mercator: A Scalable, Extensible Web Crawler. World Wide Web Allan Heydon, Marc Najork
1999	—	`conf`	Performance Limitations of the Java Core Libraries. Java Grande Allan Heydon, Marc Najork
1997	—	`conf`	A Java-Based Implementation of Collaborative Active Textbooks. VL Marc H. Brown, Marc Najork, Roope Raisamo
1997	J	`jnl`	Collaborative Active Textbooks. J. Vis. Lang. Comput. Marc H. Brown, Marc Najork
1997	—	`conf`	Distributed Applets. CHI Extended Abstracts Marc H. Brown, Marc Najork
1996	—	`conf`	Collaborative Active Textbooks: A Web-Based Algorithm Animation System for an Electronic Classroom. VL Marc H. Brown, Marc Najork
1996	J	`jnl`	Distributed Active Objects. Comput. Networks Marc H. Brown, Marc Najork
1996	J	`jnl`	Programming in Three Dimensions. J. Vis. Lang. Comput. Marc Najork
1995	J	`jnl`	Obliq-3D: A High-Level, Fast-Turnaround 3D Animation System. IEEE Trans. Vis. Comput. Graph. Marc Najork, Marc H. Brown
1994	A	`conf`	A Library for Visualizing Combinatorial Structures. IEEE Visualization Marc Najork, Marc H. Brown
1993	A*	`conf`	Algorithm Animation Using 3D Interactive Graphics. ACM Symposium on User Interface Software and Technology Marc H. Brown, Marc Najork
1993	—	`conf`	Cube: Eine dreidimensionale visuelle Programmiersprache. GI Jahrestagung Marc Najork, Simon M. Kaplan
1993	—	`conf`	Specifying Visual Languages with Conditional Set Rewrite Systems. VL Marc Najork, Simon M. Kaplan
1992	—	`conf`	A Prototype Implementation of the Cube Language. VL Marc Najork, Simon M. Kaplan
1991	—	`conf`	The CUBE Language. VL Marc Najork, Simon M. Kaplan
1990	—	`conf`	Enhancing Show-and-Tell with a polymorphic type system and higher-order functions. VL Marc Najork, Eric J. Golin
1990	J	`jnl`	Roles and their role in posing recursive queries. Inf. Syst. Sharon Kuck, Roland John, Arnd Lewe, Marc Najork