Document Priors is a probabilistic weighting construct in information retrieval that represents the a priori likelihood of a document being relevant to a query independent of the query content, thereby distinguishing it from term-based relevance models by capturing document-level biases or prominence.
12
Publications
385
Citations
22
Authors
10
Institutions
Publications per year
2017–2026
1
Parents
Publications
12
Length normalization in XML retrieval
Jaap Kamps, Maarten de Rijke, Börkur Sigurbjörnsson · 2004 · 70 citations · Full text
Jaap Kamps · 2005 · 27 citations
The maximum entropy principle in information retrieval
Paul B. Kantor, Jung Jin Lee · 1986 · 26 citations · Full text
1–5 of 12
Authors
22
- MD
4
h-index
- BE
2
h-index
- JK
2
h-index
- WW
2
h-index
- DR
1
h-index
1–5 of 22
Institutions
10
University of Amsterdam
Amsterdam, The Netherlands
4 h-index
8 publications
315 citations
University of Michigan
Ann Arbor, United States
1 h-index
3 publications
288 citations
Duke University
Durham, United States
1 h-index
1 publications
20 citations
University of Maryland, College Park
College Park, United States
1 h-index
1 publications
25 citations
University at Buffalo, State University of New York
Buffalo, United States
1 h-index
1 publications
20 citations
Amsterdam University of the Arts
Amsterdam, The Netherlands
1 h-index
2 publications
38 citations
Sun Yat-sen University
Guangzhou, China
1 h-index
2 publications
40 citations
China Guangzhou Analysis and Testing Center
Guangzhou, China
1 h-index
1 publications
20 citations
1–8 of 10
Venues
- UvA-DARE (University of Amsterdam)
Repository · 3 publications · 55 citations
3
h-index
- Journal of the American Society for Information Science
JASIS · 1 publications · 25 citations
1
h-index
- Information Processing & Management
1 publications · 96 citations
1
h-index
1–3