Training Recommendation Systems
Training Recommendation Systems is a computational framework within prescriptive human resource analytics that generates personalized employee training interventions by analyzing individual skill gaps, performance metrics, and organizational learning goals to optimize workforce development outcomes.
16
Publications
631
Citations
50
Authors
23
Institutions
Publications per year
2017–2026
14
16
Machine learned job recommendation
Ioannis Paparrizos, B. Barla Cambazoğlu, Aristides Gionis · 2011 · 162 citations
Skill discovery in virtual assistants
Ryen W. White · Communications of the ACM · 2018 · 57 citations
1–5 of 16
50
3
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 50
23
University of Science and Technology of China
Hefei, China
3 h-index
5 publications
234 citations
Baidu (China)
Beijing, China
3 h-index
7 publications
314 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
2 publications
72 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
Hong Kong Shue Yan University
Hong Kong, China
1 h-index
1 publications
26 citations
United States Air Force
Arlington, United States
1 h-index
1 publications
32 citations

Savitribai Phule Pune University
Pune, India
1 h-index
1 publications
27 citations
1–8 of 23
1 publications · 27 citations
1
h-index
1 publications · 39 citations
1
h-index
Repository · 1 publications · 32 citations
1
h-index
ETASR · 1 publications · 40 citations
1
h-index
1 publications · 26 citations
1
h-index
1–5