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

Publications

2.1K

Citations

197

Authors

82

Institutions

Publications per year

2017–2026

48

Authors

197

  1. HZ
    Hengshu Zhu

    Baidu (China), China

    5 publications · 201 citations

    5

    h-index

  2. HX
    Hui Xiong

    Rutgers, The State University of New Jersey, United States

    5 publications · 201 citations

    5

    h-index

  3. CZ
    Chen Zhu

    University of Science and Technology of China, China

    3 publications · 155 citations

    3

    h-index

  4. EC
    Enhong Chen

    University of Science and Technology of China, China

    2 publications · 104 citations

    2

    h-index

  5. YS
    Ying Sun

    Baidu (China), China

    2 publications · 46 citations

    2

    h-index

1–5 of 197

Venues

  1. Procedia Computer Science

    2 publications · 64 citations

    2

    h-index

  2. Mobile Information Systems

    1 publications · 25 citations

    1

    h-index

  3. 1

    h-index

  4. Engineering Technology & Applied Science Research

    ETASR · 1 publications · 40 citations

    1

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 76 citations

    1

    h-index

1–5