AI-based Job Matching Service

1. Overview

The job matching service leverages AI and big data analytics to automatically recommend suitable positions by analyzing candidates' professional competencies - including their major, certifications, vocational training, work history, and relevant experience - while also incorporating job preferences from users with similar profiles. The service processes this information from submitted resumes to deliver personalized job recommendations. Since its launch in 2020, KEIS (Korea Employment Information Service) has continuously enhanced its platform through multiple upgrades, including improved real-time matching algorithms, expanded job analysis coverage, strengthened matching models, and proximity-based recommendations.

2. Key Performance Metrics

3. Key Achievements and Performance in 2023

The service focused on refinement and expansion through continuous improvements, including enhanced recommendation algorithms, broader job listing coverage, and personalized user services. These efforts resulted in a 30.6% year-over-year increase in successful job placements through the AI matching service, rising from 57,844 to 75,546 placements in 2023.

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