Dynamic Expertise Profiling

Dynamic Expertise Profiling is an academic concept in information retrieval and knowledge management that refers to a computational framework designed to model and update individual expertise over time by continuously integrating evolving evidence from new publications, projects, or interactions, thereby distinguishing itself from static profiling methods through its adaptive temporal sensitivity.

3

Publications

50

Citations

4

Authors

3

Institutions

Publications per year

2017–2026

3

Authors

4

  1. MK
    Marios Kokkodis

    Boston College, United States

    1 publications · 21 citations

    1

    h-index

  2. SL
    Shangsong Liang

    Sun Yat-sen University, China

    1 publications · 13 citations

    1

    h-index

  3. JC
    Jamie Callan

    Carnegie Mellon University, United States

    1 publications · 16 citations

    1

    h-index

  4. RY
    Reyyan Yeniterzi

    Sabancı Üniversitesi, Türkiye

    1 publications · 16 citations

    1

    h-index

1–4 of 4

Institutions

3

  1. University College London

    London, United Kingdom

    1 h-index

    1 publications

    13 citations

  2. Boston College

    Boston, United States

    1 h-index

    1 publications

    21 citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    1 h-index

    2 publications

    32 citations

1–3 of 3

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 13 citations

    1

    h-index

  2. 1

    h-index

1–2