Document Relevance
Document Relevance is a measure within information retrieval that assesses the degree to which a document satisfies the informational needs expressed in a user's query, distinguished by its focus on topicality, usefulness, and alignment with the user's implicit or explicit intent.
266
Publications
19.8K
Citations
581
Authors
211
Institutions
Publications per year
2017–2026
42
Variants
Document Relevancy
Parents
266
THE PROBABILITY RANKING PRINCIPLE IN IR
Stephen Robertson · Journal of Documentation · 1977 · 1.1K citations
On Relevance, Probabilistic Indexing and Information Retrieval
M. E. Maron, J. L. Kuhns · Journal of the ACM · 1960 · 901 citations · Full text
Stefano Mizzaro · Journal of the American Society for Information Science · 1997 · 571 citations
Computing, History, Historiography +12
1–5 of 266
581
10
h-index
9
h-index
6
h-index
6
h-index
5
h-index
1–5 of 581
211
Microsoft (United States)
Redmond, United States
19 h-index
49 publications
2.9K citations

University of Massachusetts Amherst
Amherst Center, United States
14 h-index
24 publications
4.7K citations
Yahoo (United States)
Sunnyvale, United States
12 h-index
22 publications
1.2K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
10 h-index
16 publications
1.8K citations

University of Glasgow
Glasgow, United Kingdom
10 h-index
17 publications
683 citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
16 publications
2.3K citations

University of Amsterdam
Amsterdam, The Netherlands
7 h-index
11 publications
287 citations

University of Waterloo
Waterloo, Canada
7 h-index
11 publications
1.8K citations
1–8 of 211
JASIST · 16 publications · 859 citations
13
h-index
JASIS · 13 publications · 1.6K citations
13
h-index
8 publications · 1.2K citations
8
h-index
7 publications · 1.8K citations
7
h-index
Repository · 6 publications · 198 citations
6
h-index
1–5