Query-document Matching
Query-Document Matching is a document representation method that differentiates itself by quantifying the relevance between a user query and a document through semantic or lexical alignment of their respective representations.
197
Publications
10K
Citations
543
Authors
194
Institutions
Publications per year
2017–2026
46
Parents
197
Automatic Query expansion using SMART : TREC 3
Chris Buckley, Gerard Salton, James Allan et al. · 1994 · 468 citations
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194
Microsoft (United States)
Redmond, United States
12 h-index
24 publications
1.2K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
6 h-index
8 publications
482 citations
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
Pisa, Italy
6 h-index
18 publications
517 citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
9 publications
273 citations

University of Amsterdam
Amsterdam, The Netherlands
5 h-index
10 publications
752 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
5 publications
976 citations
Huawei Technologies (China)
Shenzhen, China
4 h-index
7 publications
465 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
7 publications
279 citations
1–8 of 194
8 publications · 307 citations
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Repository · 6 publications · 318 citations
5
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JASIS · 5 publications · 280 citations
5
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4 publications · 95 citations
4
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JASIST · 4 publications · 240 citations
4
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