Retrieval Effectiveness Measures is a metricological framework within information retrieval that quantifies the performance of vector space models in ranking relevant documents relative to irrelevant ones through precision, recall, and related statistical indicators.
946
Publications
61.1K
Citations
1.5K
Authors
484
Institutions
Publications per year
2017–2026
90
Parents
Publications
946
1–5 of 946
Authors
1.5K
- AM
20
h-index
- SRStephen Robertson
Microsoft Research (United Kingdom), United Kingdom
21 publications · 2.5K citations
19
h-index
- JZ
18
h-index
- WB
16
h-index
- CL
15
h-index
1–5 of 1.5K
Institutions
484
RMIT University
Melbourne, Australia
25 h-index
62 publications
5.4K citations
University of Massachusetts Amherst
Amherst Center, United States
25 h-index
62 publications
7.4K citations
Microsoft (United States)
Redmond, United States
25 h-index
56 publications
5.2K citations
University of Sheffield
Sheffield, United Kingdom
23 h-index
60 publications
4.4K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
21 h-index
35 publications
4.8K citations
University of Glasgow
Glasgow, United Kingdom
21 h-index
65 publications
2.7K citations
University of Waterloo
Waterloo, Canada
19 h-index
45 publications
2.7K citations
The University of Melbourne
Melbourne, Australia
19 h-index
45 publications
3.2K citations
1–8 of 484
Venues
- Journal of the American Society for Information Science
JASIS · 51 publications · 4K citations
33
h-index
- Information Processing & Management
39 publications · 5.4K citations
28
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- ACM Transactions on Information Systems
32 publications · 3.8K citations
23
h-index
- Journal of the American Society for Information Science and Technology
JASIST · 23 publications · 1.3K citations
18
h-index
- ACM SIGIR Forum
28 publications · 3.3K citations
17
h-index
1–5