Search Evaluation
Search Evaluation is an academic concept within information retrieval that denotes a systematic method, model, framework, metric, or dataset designed to assess the effectiveness, efficiency, or usability of search systems in the contexts of enterprise, interactive, and web search environments.
217
Publications
11.1K
Citations
511
Authors
233
Institutions
Publications per year
2017–2026
34
Variants
Ir Evaluation
217
Crowdsourcing for relevance evaluation
Omar Alonso, Daniel E. Rose, Benjamin Stewart · ACM SIGIR Forum · 2008 · 333 citations
C. J. van Rijsbergen · Journal of Documentation · 1974 · 332 citations
Peilin Yang, Hui Fang, Jimmy Lin · 2017 · 323 citations · Full text
1–5 of 217
511
12
h-index
12
h-index
11
h-index
7
h-index
7
h-index
1–5 of 511
233
Microsoft (United States)
Redmond, United States
14 h-index
32 publications
1.9K citations
Tsinghua University
Beijing, China
12 h-index
60 publications
2.2K citations

University of Waterloo
Waterloo, Canada
8 h-index
10 publications
1K citations
University of Sheffield
Sheffield, United Kingdom
8 h-index
19 publications
1.3K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
8 h-index
11 publications
450 citations

Tampere University
Tampere, Finland
8 h-index
11 publications
335 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
7 h-index
12 publications
1.2K citations
University of Stavanger
Stavanger, Norway
6 h-index
6 publications
163 citations
1–8 of 233
13 publications · 907 citations
12
h-index
9 publications · 555 citations
9
h-index
5 publications · 540 citations
5
h-index
JASIST · 5 publications · 256 citations
5
h-index
4 publications · 560 citations
4
h-index
1–5