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- affiliation: Google Research, Mountain View, CA, USA
- affiliation: Compaq Systems Research Center, Palo Alto, CA, USA
- affiliation: University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
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2020 – today
- 2023
[c96]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: 4778-4786- [c95]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: 5618-5627 - [c94]Marc Najork:
Generative Information Retrieval. SIGIR 2023: 1 - [c93]Beliz Gunel, Sandeep Tata, Marc Najork:
STRUM: Extractive Aspect-Based Contrastive Summarization. WWW (Companion Volume) 2023: 28-31 - [c92]Cheng Li, Yaping Qi, Hayk Zakaryan, Mingyang Zhang, Michael Bendersky, Yonghua Wu, Marc Najork:
Job Type Extraction for Service Businesses. WWW (Companion Volume) 2023: 401-405 - [c91]Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Mike Bendersky, Marc Najork:
"Why is this misleading?": Detecting News Headline Hallucinations with Explanations. WWW 2023: 1662-1672 - [i25]Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Michael Bendersky, Marc Najork:
"Why is this misleading?": Detecting News Headline Hallucinations with Explanations. CoRR abs/2302.05852 (2023) - [i24]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 abs/2305.05010 (2023) - [i23]Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork:
Exploring the Viability of Synthetic Query Generation for Relevance Prediction. CoRR abs/2305.11944 (2023) - 2022
- [j22]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): 21:1-21:5 (2022) - [j21]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): 42:1-42:5 (2022) - [c90]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: 95-110 - [c89]Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork:
Rax: Composable Learning-to-Rank Using JAX. KDD 2022: 3051-3060 - [c88]Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork:
Scale Calibration of Deep Ranking Models. KDD 2022: 4300-4309 - [c87]Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork:
On Optimizing Top-K Metrics for Neural Ranking Models. SIGIR 2022: 2303-2307 - [c86]Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Revisiting Two-tower Models for Unbiased Learning to Rank. SIGIR 2022: 2410-2414 - [c85]Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler:
Search and Discovery in Personal Email Collections. WSDM 2022: 1617-1619 - [i22]Beliz Gunel, Navneet Potti, Sandeep Tata, James B. Wendt, Marc Najork, Jing Xie:
Data-Efficient Information Extraction from Form-Like Documents. CoRR abs/2201.02647 (2022) - [i21]Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork:
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models. CoRR abs/2201.10582 (2022) - [i20]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 abs/2211.01494 (2022) - [i19]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 abs/2212.09744 (2022) - [i18]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 abs/2212.13937 (2022) - 2021
- [j20]Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler:
Search and Discovery in Personal Email Collections. Found. Trends Inf. Retr. 15(1): 1-133 (2021) - [j19]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): 997-1005 (2021) - [j18]Donald Metzler, Yi Tay, Dara Bahri, Marc Najork:
Rethinking search: making domain experts out of dilettantes. SIGIR Forum 55(1): 13:1-13:27 (2021) - [j17]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): 14:1-14:13 (2021) - [c84]Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork:
Natural Language Understanding with Privacy-Preserving BERT. CIKM 2021: 1488-1497 - [c83]Omar Alonso, Marc Najork, Gianmaria Silvello:
Preface. DESIRES 2021: I-III - [c82]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 - [c81]Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork:
Ensemble Distillation for BERT-Based Ranking Models. ICTIR 2021: 131-136 - [c80]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: 1245-1255 - [c79]Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork:
Dynamic Language Models for Continuously Evolving Content. KDD 2021: 2514-2524 - [c78]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: 3483-3491 - [c77]Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork:
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. SIGIR 2021: 2443-2449 - [c76]Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork:
Improving Cloud Storage Search with User Activity. WSDM 2021: 508-516 - [e6]Omar Alonso, Stefano Marchesin, Marc Najork, Gianmaria Silvello:
Proceedings of the Second International Conference on Design of Experimental Search & Information REtrieval Systems, Padova, Italy, September 15-18, 2021. CEUR Workshop Proceedings 2950, CEUR-WS.org 2021 [contents] - [e5]Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia:
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. ACM / IW3C2 2021, ISBN 978-1-4503-8312-7 [contents] - [e4]Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia:
Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. ACM / IW3C2 2021, ISBN 978-1-4503-8313-4 [contents] - [i17]Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork:
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. CoRR abs/2103.01913 (2021) - [i16]Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork:
Privacy-Adaptive BERT for Natural Language Understanding. CoRR abs/2104.07504 (2021) - [i15]Donald Metzler, Yi Tay, Dara Bahri, Marc Najork:
Rethinking Search: Making Experts out of Dilettantes. CoRR abs/2105.02274 (2021) - [i14]Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork:
Dynamic Language Models for Continuously Evolving Content. CoRR abs/2106.06297 (2021) - [i13]Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Born Again Neural Rankers. CoRR abs/2109.15285 (2021) - [i12]Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Rank4Class: A Ranking Formulation for Multiclass Classification. CoRR abs/2112.09727 (2021) - 2020
- [c75]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: 6495-6504 - [c74]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 - [c73]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: 1725-1734 - [c72]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: 2925-2937 - [c71]Rama Kumar Pasumarthi, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Permutation Equivariant Document Interaction Network for Neural Learning to Rank. ICTIR 2020: 145-148 - [c70]Weize Kong, Michael Bendersky, Marc Najork, Brandon Vargo, Mike Colagrosso:
Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs. KDD 2020: 2416-2424 - [c69]Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Feature Transformation for Neural Ranking Models. SIGIR 2020: 1649-1652 - [c68]Sebastian Bruch, Shuguang Han, Michael Bendersky, Marc Najork:
A Stochastic Treatment of Learning to Rank Scoring Functions. WSDM 2020: 61-69 - [c67]Shuguang Han, Michael Bendersky, Przemek Gajda, Sergey Novikov, Marc Najork, Bernhard Brodowsky, Alexandrin Popescul:
Adversarial Bandits Policy for Crawling Commercial Web Content. WWW 2020: 407-417 - [i11]Shuguang Han, Xuanhui Wang, Mike Bendersky, Marc Najork:
Learning-to-Rank with BERT in TF-Ranking. CoRR abs/2004.08476 (2020) - [i10]Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork:
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching. CoRR abs/2004.12297 (2020) - [i9]Abbas Kazerouni, Qi Zhao, Jing Xie, Sandeep Tata, Marc Najork:
Active Learning for Skewed Data Sets. CoRR abs/2005.11442 (2020) - [i8]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 abs/2010.01195 (2020) - [i7]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 abs/2010.03099 (2020) - [i6]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 abs/2010.11821 (2020)
2010 – 2019
- 2019
- [j16]Michael J. Whittaker, Nick Edmonds, Sandeep Tata, James B. Wendt, Marc Najork:
Online Template Induction for Machine-Generated Emails. Proc. VLDB Endow. 12(11): 1235-1248 (2019) - [c66]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: 75-78 - [c65]Qingyao Ai, Xuanhui Wang, Sebastian Bruch, Nadav Golbandi, Michael Bendersky, Marc Najork:
Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks. ICTIR 2019: 85-92 - [c64]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: 2970-2978 - [c63]Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork:
Multi-view Embedding-based Synonyms for Email Search. SIGIR 2019: 575-584 - [c62]Sebastian Bruch, Masrour Zoghi, Michael Bendersky, Marc Najork:
Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks. SIGIR 2019: 1241-1244 - [c61]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: 186-194 - [c60]Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims:
Estimating Position Bias without Intrusive Interventions. WSDM 2019: 474-482 - [c59]Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork:
Addressing Trust Bias for Unbiased Learning-to-Rank. WWW 2019: 4-14 - [c58]Shuguang Han, Bernhard Brodowsky, Przemek Gajda, Sergey Novikov, Mike Bendersky, Marc Najork, Robin Dua, Alexandrin Popescul:
Predictive Crawling for Commercial Web Content. WWW 2019: 627-637 - [c57]Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi, Marc Najork:
Semantic Text Matching for Long-Form Documents. WWW 2019: 795-806 - [c56]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: 886-895 - [i5]Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork:
Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking. CoRR abs/1910.09676 (2019) - 2018
- [c55]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: 1846-1855 - [c54]Xuanhui Wang, Cheng Li, Nadav Golbandi, Michael Bendersky, Marc Najork:
The LambdaLoss Framework for Ranking Metric Optimization. CIKM 2018: 1313-1322 - [c53]Marc Najork:
Training On-Device Ranking Models from Cross-User Interactions in a Privacy-Preserving Fashion. DESIRES 2018: 108 - [c52]Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler:
Learning with Sparse and Biased Feedback for Personal Search. IJCAI 2018: 5219-5223 - [c51]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: 734-743 - [c50]John Foley, Mingyang Zhang, Michael Bendersky, Marc Najork:
Semantic Location in Email Query Suggestion. SIGIR 2018: 977-980 - [c49]Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Donald Metzler, Marc Najork:
Position Bias Estimation for Unbiased Learning to Rank in Personal Search. WSDM 2018: 610-618 - [c48]Navneet Potti, James B. Wendt, Qi Zhao, Sandeep Tata, Marc Najork:
Hidden in Plain Sight: Classifying Emails Using Embedded Image Contents. WWW 2018: 1865-1874 - [r6]Marc Najork:
Web Crawler Architecture. Encyclopedia of Database Systems (2nd ed.) 2018 - [r5]Marc Najork:
Web Spam Detection. Encyclopedia of Database Systems (2nd ed.) 2018 - [r4]Hugo Zaragoza, Marc Najork:
Web Search Relevance Ranking. Encyclopedia of Database Systems (2nd ed.) 2018 - [i4]Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork:
Offline Comparison of Ranking Functions using Randomized Data. CoRR abs/1810.05252 (2018) - [i3]Qingyao Ai, Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Marc Najork:
Learning Groupwise Scoring Functions Using Deep Neural Networks. CoRR abs/1811.04415 (2018) - [i2]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 abs/1812.00073 (2018) - [i1]Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims:
Estimating Position Bias without Intrusive Interventions. CoRR abs/1812.05161 (2018) - 2017
- [c47]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: 1643-1651 - [c46]Michael Bendersky, Xuanhui Wang, Donald Metzler, Marc Najork:
Learning from User Interactions in Personal Search via Attribute Parameterization. WSDM 2017: 791-799 - [c45]Aston Zhang, Lluis Garcia Pueyo, James B. Wendt, Marc Najork, Andrei Z. Broder:
Email Category Prediction. WWW (Companion Volume) 2017: 495-503 - 2016
- [c44]Marc Najork:
Using Machine Learning to Improve the Email Experience. CIKM 2016: 891 - [c43]Xuanhui Wang, Michael Bendersky, Donald Metzler, Marc Najork:
Learning to Rank with Selection Bias in Personal Search. SIGIR 2016: 115-124 - 2015
- [c42]Omar Alonso, Catherine C. Marshall, Marc Najork:
Debugging a Crowdsourced Task with Low Inter-Rater Agreement. JCDL 2015: 101-110 - 2013
- [c41]Omar Alonso, Catherine C. Marshall, Marc Najork:
Are Some Tweets More Interesting Than Others? #HardQuestion. HCIR 2013: 2:1-2:10 - [c40]Omar Alonso, Catherine C. Marshall, Marc Najork:
A Human-Centered Framework for Ensuring Reliability on Crowdsourced Labeling Tasks. HCOMP (Works in Progress / Demos) 2013 - [c39]Moisés Goldszmidt, Marc Najork, Stelios Paparizos:
Boot-Strapping Language Identifiers for Short Colloquial Postings. ECML/PKDD (2) 2013: 95-111 - [c38]Nick Craswell, Bodo Billerbeck, Dennis Fetterly, Marc Najork:
Robust query rewriting using anchor data. WSDM 2013: 335-344 - 2012
- [j15]Helen Ashman, Arun Iyengar, Marc Najork:
Editorial. ACM Trans. Web 6(2): 5:1 (2012) - [c37]Marc Najork:
Detecting quilted web pages at scale. SIGIR 2012: 385-394 - [c36]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: 103-112 - [c35]Rina Panigrahy, Marc Najork, Yinglian Xie:
How user behavior is related to social affinity. WSDM 2012: 713-722 - 2011
- [c34]Nick Craswell, Dennis Fetterly, Marc Najork:
The Power of Peers. ECIR 2011: 497-502 - [c33]Bodo Billerbeck, Nick Craswell, Dennis Fetterly, Marc Najork:
Microsoft Research at TREC 2011 Web Track. TREC 2011 - 2010
- [j14]Christopher Olston, Marc Najork:
Web Crawling. Found. Trends Inf. Retr. 4(3): 175-246 (2010) - [c32]Marc Najork:
Querying the Web Graph - (Invited Talk). SPIRE 2010: 1-12 - [c31]Nick Craswell, Dennis Fetterly, Marc Najork:
Microsoft Research at TREC 2010 Web Track. TREC 2010 - [c30]Atish Das Sarma, Sreenivas Gollapudi, Marc Najork, Rina Panigrahy:
A sketch-based distance oracle for web-scale graphs. WSDM 2010: 401-410
2000 – 2009
- 2009
- [c29]Marc Najork:
The scalable hyperlink store. Hypertext 2009: 89-98 - [c28]Nick Craswell, Dennis Fetterly, Marc Najork, Stephen Robertson, Emine Yilmaz:
Microsoft Research at TREC 2009: Web and Relevance Feedback Track. TREC 2009 - [c27]Marc Najork, Sreenivas Gollapudi, Rina Panigrahy:
Less is more: sampling the neighborhood graph makes SALSA better and faster. WSDM 2009: 242-251 - [r3]Marc Najork:
Web Crawler Architecture. Encyclopedia of Database Systems 2009: 3462-3465 - [r2]Hugo Zaragoza, Marc Najork:
Web Search Relevance Ranking. Encyclopedia of Database Systems 2009: 3497-3501 - [r1]Marc Najork:
Web Spam Detection. Encyclopedia of Database Systems 2009: 3520-3523 - 2008
- [j13]Marc Najork, Brian D. Davison:
Introduction to special section on adversarial issues in Web search. ACM Trans. Web 2(1): 1:1-1:2 (2008) - [c26]Marc Najork, Nick Craswell:
Efficient and effective link analysis with precomputed salsa maps. CIKM 2008: 53-62 - [c25]Frank McSherry, Marc Najork:
Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores. ECIR 2008: 414-421 - [e3]Marc Najork, Andrei Z. Broder, Soumen Chakrabarti:
Proceedings of the International Conference on Web Search and Web Data Mining, WSDM 2008, Palo Alto, California, USA, February 11-12, 2008. ACM 2008, ISBN 978-1-59593-927-2 [contents] - 2007
- [c24]Marc Najork:
Comparing the effectiveness of hits and salsa. CIKM 2007: 157-164 - [c23]Marc Najork, Hugo Zaragoza, Michael J. Taylor:
Hits on the web: how does it compare? SIGIR 2007: 471-478 - [c22]Sreenivas Gollapudi, Marc Najork, Rina Panigrahy:
Using Bloom Filters to Speed Up HITS-Like Ranking Algorithms. WAW 2007: 195-201 - 2006
- [j12]Brian D. Davison, Marc Najork, Tim Converse:
Adversarial information retrieval on the web (AIRWeb 2006). SIGIR Forum 40(2): 27-30 (2006) - [c21]