Semantic Search
Semantic Search is an information retrieval approach that ranks and retrieves items based on representations of the meaning, context, and intent expressed in queries and documents, rather than primarily on their surface-level lexical overlap.
4K
Publications
242.5K
Citations
10.4K
Authors
2.1K
Institutions
Publications per year
2017–2026
866
4K
Distributed Representations of Words and Phrases and their Compositionality
Tomáš Mikolov, Ilya Sutskever, Kai Chen et al. · arXiv (Cornell University) · 2013 · 18.1K citations · Full text
1–5 of 4K
10.4K
17
h-index
United States National Library of Medicine, United States
21 publications · 1.3K citations
17
h-index
15
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15
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14
h-index
1–5 of 10.4K
2.1K
University of Illinois Urbana-Champaign
Urbana, United States
33 h-index
120 publications
14.5K citations
Microsoft Research Asia (China)
Beijing, China
33 h-index
119 publications
11K citations
IBM (United States)
Armonk, United States
31 h-index
127 publications
8.8K citations
Carnegie Mellon University
Pittsburgh, United States
30 h-index
103 publications
7.7K citations
Columbia University
New York, United States
29 h-index
80 publications
5.1K citations
Stanford University
Stanford, United States
29 h-index
114 publications
17K citations
Microsoft (United States)
Redmond, United States
29 h-index
91 publications
11.3K citations
Tsinghua University
Beijing, China
28 h-index
105 publications
6.4K citations
1–8 of 2.1K
TKDE · 38 publications · 4.7K citations
29
h-index
56 publications · 2.3K citations
27
h-index
Repository · 70 publications · 20.8K citations
25
h-index
Conference · 27 publications · 2.2K citations
22
h-index
24 publications · 1.7K citations
21
h-index
1–5