Emine Yilmaz
Emine Yilmaz researches information retrieval and language technology. Her joint work examines how search evaluation can reveal differences in user satisfaction across groups. Yilmaz received the 2015 Karen Spärck Jones Award and was a UCL lecturer at that time. With Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma and Hanna Wallach, Yilmaz co-authored a WWW 2017 paper on search satisfaction across demographic groups. It proposes three methods that use causal-inference and multilevel-modelling ideas to interpret evaluation metrics. Her research includes information retrieval, natural-language processing and applications of machine learning. Her career includes university research and earlier work at Microsoft Research Cambridge.
- Now at
- University College London and Amazon
- Works
- 295
- Citations
- 5,216
- h-index
- 39
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
2015
Information-retrieval recognition
Yilmaz received the 2015 Karen Spärck Jones Award and was a UCL lecturer at that time.
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2017
Auditing search satisfaction
With Rishabh Mehrotra, Ashton Anderson, Fernando Diaz, Amit Sharma and Hanna Wallach, Yilmaz co-authored a WWW 2017 paper on search satisfaction across demographic groups. It proposes three methods that use causal-inference and multilevel-modelling ideas to interpret evaluation metrics.
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As of October 2026
Information access and machine learning
Her research includes information retrieval, natural-language processing and applications of machine learning. Her career includes university research and earlier work at Microsoft Research Cambridge.
Sources and credits
Photo: ellis.eu; Emine Yilmaz | European Laboratory for Learning and Intelligent Systems; creator not stated. License: Not stated by source. Source: ellis.eu. Cropped to a square and resized. Ask us to remove or replace this photo.