Marc Najork
research scientist
Facts
12 properties- Instance of
- human
- Date of birth
- 1963
- Occupation
- research scientist
- Employer
- Google, Microsoft, Google DeepMind[3][4]
- Award received
- ACM Fellow[6]
- Official website
- marc.najork.org[13]
- Doctoral advisor
- Simon M. Kaplan[5]
- Family name
- Najork[12]
- Maintained by WikiProject
- WikiProject Mathematics[14]
🏷️ Also known as
en Marc-Alexander Najork
en Marc A. Najork
en Marc Najork
en Марк Найорк
🔖 Identifiers · 18
- ORCID iD
- 0000-0003-1423-0854
- OpenAlex ID
- A5037200145as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- Image (Wikimedia Commons)
- Marc Najork.jpg ↗
- ACM Digital Library author ID
- 81100303448
- Curriculum vitae URL
- marc.najork.org
- DBLP author ID
- n/MarcNajork
- Dimensions author ID
- 010661276423.29
- Facebook username
- marc.najork
- GitHub account
- marcnajork
- Google Scholar author ID
- 7HeAnjwAAAAJ
- IEEE Xplore author ID
- 37354028200
- LinkedIn personal profile ID
- najork
Show all 18 identifiers +6
- MR Author ID
- 872059
- Mathematics Genealogy Project ID
- 41170
- Scopus author ID
- 6602746242
- Semantic Scholar author ID
- 1763978
- X (Twitter) username
- marc_najork
- ZbMATH author ID
- najork.marc
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 24
Addressing Trust Bias for Unbiased Learning-to-Rank,
An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance,
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees,
A Stochastic Treatment of Learning to Rank Scoring Functions,
Debugging a Crowdsourced Task with Low Inter-Rater Agreement,
DSI++: Updating Transformer Memory with New Documents,
Email Category Prediction,
Ensemble Distillation for BERT-Based Ranking Models
+16 more
← Authored by 24
Addressing Trust Bias for Unbiased Learning-to-Rank,
An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance,
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees,
A Stochastic Treatment of Learning to Rank Scoring Functions,
Debugging a Crowdsourced Task with Low Inter-Rater Agreement,
DSI++: Updating Transformer Memory with New Documents,
Email Category Prediction,
Ensemble Distillation for BERT-Based Ranking Models
+16 more
Affiliated with 4
Press Enter · cited answer in seconds
0 sources
Summary
Marc Najork was born on January 1, 1963[1]. He worked as a research scientist[2].
Body
Career and Affiliations
Employers include Google[3], a business[15], in United States[16], founded in 1998[17], headquartered in Mountain View[18] and Google DeepMind[4], a subsidiary company[19], in United Kingdom[20], founded in 2010[21], headquartered in London[22].
FAQs
What did Marc Najork do for work?
Marc Najork worked as research scientist[2].
What awards did Marc Najork receive?
Honors received include ACM Fellow[6].