Binary Independence Model
The Binary Independence Model is a probabilistic retrieval model that assumes binary term occurrence in documents and independence between terms, using these assumptions to estimate the probability of relevance based on the presence or absence of terms in document representations.
14
Publications
426
Citations
26
Authors
14
Institutions
Publications per year
2017–2026
0
Parents
14
Thomas Roelleke, Jun Wang · 2008 · 112 citations
Prince M. Etwire, Wilson Dogbe, Alexander N. Wiredu et al. · 2013 · 67 citations
Social Sciences, Agricultural Economics, Project Management +13
Arjen P. de Vries, Thomas Roelleke · 2005 · 29 citations
1–5 of 14
26
3
h-index
2
h-index
University of North Carolina at Chapel Hill, United States
2 publications · 25 citations
2
h-index
2
h-index
1
h-index
1–5 of 26
14
Queen Mary University of London
London, United Kingdom
3 h-index
5 publications
323 citations
University of Illinois Chicago
Chicago, United States
2 h-index
3 publications
59 citations

Technische Universität Darmstadt
Darmstadt, Germany
2 h-index
2 publications
51 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
2 publications
25 citations
Human Media
Belmont, United States
1 h-index
1 publications
13 citations

University of Regina
Regina, Canada
1 h-index
2 publications
34 citations
Louisiana State University
Baton Rouge, United States
1 h-index
1 publications
19 citations

Cornell University
Ithaca, United States
1 h-index
1 publications
30 citations
1–8 of 14
JASIS · 2 publications · 27 citations
2
h-index
Repository · 1 publications · 13 citations
1
h-index
TODS · 1 publications · 22 citations
1
h-index
1 publications · 25 citations
1
h-index
1–4