Keyword Recommendation
Keyword Recommendation is a computational method that identifies and suggests contextually relevant terms or phrases to represent the core content of a document or text, distinguishing itself from related information retrieval techniques by focusing specifically on proposing keywords that are not already present in the source material.
46
Publications
1.8K
Citations
154
Authors
71
Institutions
Publications per year
2017–2026
15
Parents
46
Tag recommendations in social bookmarking systems
Robert Jäschke, Leandro Balby Marinho, Andreas Hotho et al. · AI Communications · 2008 · 204 citations
Advertising keyword suggestion based on concept hierarchy
Yifan Chen, Gui-Rong Xue, Yong Yu · 2008 · 98 citations
1–5 of 46
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71
University of Technology Sydney
Sydney, Australia
2 h-index
5 publications
500 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
5 publications
370 citations
Nanjing University of Science and Technology
Nanjing, China
2 h-index
3 publications
332 citations

Hanyang University
Seoul, South Korea
2 h-index
4 publications
88 citations

Bangalore University
Bengaluru, India
2 h-index
5 publications
135 citations
Tsinghua University
Beijing, China
2 h-index
4 publications
98 citations
Wuhan University
Wuhan, China
2 h-index
6 publications
626 citations
Indian Institute of Technology Kharagpur
Kharagpur, India
1 h-index
1 publications
40 citations
1–8 of 71
AICOM · 2 publications · 238 citations
2
h-index
1 publications · 26 citations
1
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TWEB · 1 publications · 18 citations
1
h-index
1 publications · 12 citations
1
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1 publications · 28 citations
1
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1–5