Enhancing Job-Competency Matching: A Comparative Study of BERT-Based Approaches for Targeted Assessment

The rapid evolution of the labor market has intensified the complexity of matching job applicants with suitable positions. Traditional hiring methods, such as resumes and interviews, often fail to fully capture an applicant's competencies. This limitation is particularly evident as job roles become increasingly specialized, requiring a more precise evaluation of skills and knowledge.

Institutions

Publication Details

Published
2025-04-02
DOI
https://doi.org/10.1109/icci64209.2025.10987267
Primary Topic
Higher Education Learning Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Job-Competency Matching: A Comparative Study of BERT-Based Approaches for Targeted Assessment

Higher Education Learning Practices
article

Enhancing Job-Competency Matching: A Comparative Study of BERT-Based Approaches for Targeted Assessment

article en

Abstract

The rapid evolution of the labor market has intensified the complexity of matching job applicants with suitable positions. Traditional hiring methods, such as resumes and interviews, often fail to fully capture an applicant's competencies. This limitation is particularly evident as job roles become increasingly specialized, requiring a more precise evaluation of skills and knowledge.

Thammasat University (TH), Nakhon Phanom University (TH), Kasetsart University (TH), Institute for the Promotion of Teaching Science and Technology (TH), Bangkok University (TH)
Decent work and economic growth
Openalex Percentile: Top 89%
Higher Education Learning Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.