Query-document Relevance
Query-Document Relevance is a relevance assessment measure that evaluates the degree to which a document satisfies the information need expressed in a query within an information retrieval system.
142
Publications
8.5K
Citations
341
Authors
132
Institutions
Publications per year
2017–2026
34
Parents
142
1–5 of 142
341
10
h-index
4
h-index
4
h-index
4
h-index
3
h-index
1–5 of 341
132
Microsoft (United States)
Redmond, United States
11 h-index
20 publications
948 citations

University of Glasgow
Glasgow, United Kingdom
8 h-index
12 publications
269 citations

University of Massachusetts Amherst
Amherst Center, United States
7 h-index
16 publications
3.5K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
7 h-index
9 publications
1.4K citations
Yahoo (United States)
Sunnyvale, United States
6 h-index
20 publications
543 citations
Technion – Israel Institute of Technology
Haifa, Israel
4 h-index
8 publications
135 citations
Université Toulouse - Jean Jaurès
Toulouse, France
4 h-index
11 publications
188 citations
Institut Polytechnique de Bordeaux
Bordeaux, France
4 h-index
11 publications
188 citations
1–8 of 132
Repository · 7 publications · 266 citations
7
h-index
6 publications · 859 citations
6
h-index
6 publications · 177 citations
6
h-index
JASIS · 3 publications · 158 citations
3
h-index
TKDE · 2 publications · 132 citations
2
h-index
1–5