Knowledge Worker Recommendation

Knowledge Worker Recommendation is an academic concept in the field of expertise recommendation that refers to a computational method, model, framework, or system designed to identify, rank, or suggest individuals with specialized knowledge and skills for specific tasks, projects, or collaborative contexts within knowledge-intensive environments.

7

Publications

117

Citations

23

Authors

13

Institutions

Publications per year

2017–2026

0

Authors

23

  1. CL
    Chin‐Hui Lai

    Chung Yuan Christian University, Taiwan

    2 publications · 33 citations

    2

    h-index

  2. KS
    Karin Schoefegger

    Graz University of Technology, Austria

    1 publications · 18 citations

    1

    h-index

  3. ML
    Ming Li

    China University of Petroleum, Beijing, China

    1 publications · 20 citations

    1

    h-index

  4. DR
    David R. Millen

    IBM (United States), United States

    1 publications · 18 citations

    1

    h-index

  5. WG
    Werner Geyer

    IBM (United States), United States

    1 publications · 18 citations

    1

    h-index

1–5 of 23

Venues

  1. 2

    h-index

  2. Procedia Computer Science

    1 publications · 18 citations

    1

    h-index

  3. 1

    h-index

  4. Kybernetes

    1 publications · 20 citations

    1

    h-index

1–4