Bayesian Information Retrieval is a probabilistic retrieval framework that employs Bayesian inference to model uncertainty in document relevance by updating prior beliefs with observed evidence in accordance with Bayes' theorem.
86
Publications
5K
Citations
237
Authors
97
Institutions
Publications per year
2017–2026
10
Parents
Publications
86
A Bayesian Network Model for Information Retrieval from Greek Texts
Manolis Μaragoudakis · 2007 · 144 citations
1–5 of 86
Authors
237
- LM
8
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- JF
8
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- IJ
6
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- JM
6
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- ML
4
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1–5 of 237
Institutions
97
Universidad de Granada
Granada, Spain
8 h-index
21 publications
752 citations
University College London
London, United Kingdom
6 h-index
18 publications
668 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
5 h-index
9 publications
2.7K citations
Microsoft (United States)
Redmond, United States
4 h-index
9 publications
221 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
4 publications
1.8K citations
City, University of London
London, United Kingdom
3 h-index
3 publications
1.3K citations
Princeton University
Princeton, United States
3 h-index
11 publications
2.9K citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
4 publications
264 citations
1–8 of 97
Venues
- Information Processing & Management
9 publications · 1.5K citations
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- Information Retrieval
4 publications · 90 citations
4
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- The Astronomical Journal
AJ · 3 publications · 85 citations
3
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- arXiv (Cornell University)
Repository · 2 publications · 42 citations
2
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- PubMed
Repository · 2 publications · 42 citations
2
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1–5