Relevance Ranking
Relevance Ranking is an information retrieval ranking method that orders documents (or other retrieved items) by assigning and sorting them according to numeric scores estimating their degree of relevance to a user’s query.
1.3K
Publications
107.7K
Citations
3K
Authors
821
Institutions
Publications per year
2017–2026
280
1.3K
Relevance feedback in information retrieval
J. J. Rocchio · Medical Entomology and Zoology · 1971 · 2.6K citations
Zhe Cao, Tao Qin, Tie‐Yan Liu et al. · 2007 · 2K citations
1–5 of 1.3K
3K
Microsoft Research (United Kingdom), United Kingdom
17 publications · 5.5K citations
15
h-index
14
h-index
13
h-index
13
h-index
13
h-index
1–5 of 3K
821
Microsoft (United States)
Redmond, United States
41 h-index
167 publications
19.3K citations
Microsoft Research Asia (China)
Beijing, China
25 h-index
114 publications
12.5K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
21 h-index
46 publications
9.2K citations

University of Massachusetts Amherst
Amherst Center, United States
21 h-index
48 publications
5.2K citations
Yahoo (United States)
Sunnyvale, United States
21 h-index
121 publications
9K citations

University of Amsterdam
Amsterdam, The Netherlands
20 h-index
69 publications
3.8K citations
University of Illinois Urbana-Champaign
Urbana, United States
19 h-index
47 publications
2.7K citations

Cornell University
Ithaca, United States
18 h-index
38 publications
31K citations
1–8 of 821
47 publications · 18.7K citations
30
h-index
Repository · 40 publications · 1.4K citations
20
h-index
21 publications · 1.6K citations
17
h-index
17 publications · 1.6K citations
16
h-index
Conference · 19 publications · 812 citations
14
h-index
1–5