Term Weighting
Term Weighting is a method within retrieval models that assigns numerical values to terms in a document or query to reflect their relative importance or discriminative power in representing information content.
373
Publications
34.3K
Citations
838
Authors
343
Institutions
Publications per year
2017–2026
88
373
Stephen Robertson, Steve Walker, Susan Jones et al. · Text REtrieval Conference · 1994 · 2.2K citations
Evaluating bag-of-visual-words representations in scene classification
Jun Yang, Yu–Gang Jiang, Alexander G. Hauptmann et al. · 2007 · 818 citations · Full text
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343

Cornell University
Ithaca, United States
11 h-index
17 publications
21K citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
17 publications
2.6K citations
University of Cambridge
Cambridge, United Kingdom
8 h-index
8 publications
3K citations

University of Glasgow
Glasgow, United Kingdom
6 h-index
12 publications
1.5K citations
National University of Singapore
Singapore, Singapore
6 h-index
13 publications
2.1K citations
Nanyang Technological University
Singapore, Singapore
5 h-index
12 publications
484 citations

Eastern Mediterranean University
Famagusta, Cyprus
5 h-index
8 publications
242 citations
Institute for Infocomm Research
Singapore, Singapore
4 h-index
7 publications
1.2K citations
1–8 of 343
15 publications · 1.1K citations
14
h-index
13 publications · 10.3K citations
13
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JASIS · 12 publications · 2.6K citations
11
h-index
8 publications · 1.7K citations
8
h-index
Repository · 6 publications · 394 citations
6
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