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

Authors

50

  1. HZ
    Hengshu Zhu

    Baidu (China), China

    3 publications · 118 citations

    3

    h-index

  2. HX
    Hui Xiong

    Rutgers, The State University of New Jersey, United States

    3 publications · 118 citations

    3

    h-index

  3. CW
    Chao Wang

    University of Science and Technology of China, China

    2 publications · 104 citations

    2

    h-index

  4. CZ
    Chen Zhu

    University of Science and Technology of China, China

    2 publications · 104 citations

    2

    h-index

  5. EC
    Enhong Chen

    University of Science and Technology of China, China

    2 publications · 104 citations

    2

    h-index

1–5 of 50

Venues

  1. Data Science and Engineering

    1 publications · 27 citations

    1

    h-index

  2. 1

    h-index

  3. PubMed

    Repository · 1 publications · 32 citations

    1

    h-index

  4. Engineering Technology & Applied Science Research

    ETASR · 1 publications · 40 citations

    1

    h-index

  5. Computational Intelligence and Neuroscience

    1 publications · 26 citations

    1

    h-index

1–5