Skill Recommendation Systems
Skill Recommendation Systems is a computational framework that, as a member of the class of personalized recommendation systems, specifically identifies and suggests relevant skills to individuals based on their current competencies, career goals, and contextual demands within the domain of Skill Inventory Management.
65
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2.1K
Citations
197
Authors
82
Institutions
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2017–2026
48
Parents
65
Towards task recommendation in micro-task markets
Vamshi Ambati, Stephan Vogel, Jaime Carbonell · 2011 · 99 citations
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Baidu (China)
Beijing, China
5 h-index
17 publications
786 citations
University of Science and Technology of China
Hefei, China
4 h-index
8 publications
387 citations
Institute of Computing Technology
Beijing, China
2 h-index
4 publications
147 citations

King Saud University
Riyadh, Saudi Arabia
2 h-index
6 publications
246 citations

University of Aizu
Fukushima, Japan
2 h-index
4 publications
284 citations

Technische Informationsbibliothek (TIB)
Hanover, Germany
2 h-index
5 publications
315 citations
Tianjin University
Tianjin, China
2 h-index
2 publications
104 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
2 publications
72 citations
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2 publications · 64 citations
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1 publications · 25 citations
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1 publications · 14 citations
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ETASR · 1 publications · 40 citations
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Conference · 1 publications · 76 citations
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