Stephen Robertson (computer scientist)
Stephen Robertson | |
|---|---|
| Born | 6 April 1946 |
| Nationality | British |
| Alma mater | Cambridge, City University, University College London |
| Known for | Work on information retrieval and inverse document frequency |
| Awards | Gerard Salton Award (2000), Tony Kent Strix award (1998), ACM Fellow (2013) |
| Scientific career | |
| Fields | Computer science |
| Doctoral advisor | B.C (Bertie) Brookes |
| Website | staff |
Stephen Robertson is a British computer scientist. He is known for his work on probabilistic information retrieval together with Karen Spärck Jones[1] and the Okapi BM25 weighting model.[2][3]
Terrier. BM25 is used as one of the most important signals in large web search engines, certainly in Microsoft Bing, and probably in other web search engines too. BM25 is also used in various other Microsoft products such as Microsoft SharePoint and SQL Server.[4]
After completing his undergraduate degree in mathematics at
Information Science, continuing as a part-time professor and subsequently as professor emeritus. He is also a fellow of Girton College, Cambridge University. Now retired, Robertson is Professor Emeritus at City University, and a Visiting Professor in the Department of Computer Science at UCL.[6]
References
- .
- S2CID 1965284.
- .
- ^ Hiemstra, D.; Tait, J.; MacFarlane, A.; Belkin, N. J. (2013). "Celebrating Stephen Robertson's Retirement". BCS IRSG Informer.
- ^ Robertson, Stephen (December 2013). "Brief CV". Stephen Robertson, Information Science. Retrieved 19 November 2022.
- ^ "The Stephen Robertson Prize | UCL UCL Centre for Digital Humanities".
Publications
- Robertson, Stephen; Zaragoza, Hugo (2009). The Probabilistic Relevance Framework: BM25 and Beyond (PDF). NOW Publishers, Inc. ISBN 978-1-60198-308-4.
- Robertson, Stephen (2020). B C, Before Computers. Open Book Publishers. S2CID 226361310.
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