Relevance Judgments
Relevance Judgments is a qualitative assessment process in information retrieval whereby human or automated evaluators determine the degree of correspondence between retrieved documents and the informational needs expressed in queries, distinguished by its reliance on explicit criteria to classify relevance at the document level.
756
Publications
68K
Citations
1.4K
Authors
542
Institutions
Publications per year
2017–2026
126
756
Optimizing search engines using clickthrough data
Thorsten Joachims · 2002 · 3.9K citations
Relevance feedback in information retrieval
J. J. Rocchio · Medical Entomology and Zoology · 1971 · 2.6K citations
Finding the Self? An Event-Related fMRI Study
William M. Kelley, C. Neil Macrae, Carrie L. Wyland et al. · Journal of Cognitive Neuroscience · 2002 · 1.6K citations
1–5 of 756
1.4K
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11
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1–5 of 1.4K
542
Microsoft (United States)
Redmond, United States
27 h-index
99 publications
7.1K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
20 h-index
53 publications
4.8K citations
RMIT University
Melbourne, Australia
19 h-index
34 publications
2.1K citations
University of Sheffield
Sheffield, United Kingdom
17 h-index
25 publications
2.1K citations

University of Amsterdam
Amsterdam, The Netherlands
16 h-index
43 publications
2.2K citations

Cornell University
Ithaca, United States
16 h-index
40 publications
18.4K citations
University of Udine
Udine, Italy
16 h-index
31 publications
2.1K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
15 h-index
29 publications
1.9K citations
1–8 of 542
JASIS · 35 publications · 3.8K citations
28
h-index
JASIST · 36 publications · 2.9K citations
23
h-index
27 publications · 2.7K citations
21
h-index
16 publications · 7.2K citations
14
h-index
14 publications · 1.1K citations
13
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