디지털융복합연구 (Journal of Digital Convergence)

  • 제19권3호
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  • Pages.203-209
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  • 2021
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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소셜미디어 및 면접 영상 분석 기반 온라인 채용지원시스템 프로토타입 설계 및 구현

Prototype Design and Development of Online Recruitment System Based on Social Media and Video Interview Analysis

  • 조진형 (동양미래대학교 컴퓨터공학부) ;
  • 강환수 (동양미래대학교 컴퓨터공학부) ;
  • 유우창 (동양미래대학교 컴퓨터공학부) ;
  • 박규태 (동양미래대학교 컴퓨터공학부)
  • Cho, Jinhyung (Division of Computer Engineering, Dongyang Mirae University) ;
  • Kang, Hwansoo (Division of Computer Engineering, Dongyang Mirae University) ;
  • Yoo, Woochang (Division of Computer Engineering, Dongyang Mirae University) ;
  • Park, Kyutae (Division of Computer Engineering, Dongyang Mirae University)
  • 투고 : 2020.12.29
  • 심사 : 2021.03.20
  • 발행 : 2021.03.28
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초록

본 연구에서는 구직자의 채용지원 서류에 대한 진정성 검증 및 잠재 직무역량과 성향에 대한 정보여과 기능을 기반으로 효과적인 원격 채용 및 적정한 업무배치 의사결정을 지원할 수 있는 온라인 채용지원시스템 프로토타입 설계 및 구현 사례를 제안하고자 하였다. 이를 위해 구직자의 공개된 소셜미디어 정보에 대해 다차원적으로 자동 크롤링 및 분석하는 기능을 접목하여 구직자의 성향과 직무역량 정보를 도출하고, 텍스트마이닝 기법을 적용하여 채용지원 서류에 표현된 텍스트 정보 및 면접 영상 정보에 대한 지능적인 분석기능이 포함된 시스템 모델을 제안하였다. 제안하는 채용지원시스템의 효용성 검증을 위하여 프로토타입을 기반으로 주요 성능지표인 텍스트마이닝 정확도 및 면접 음성문자변환 기능 인식률 등에 대한 성능평가 실험을 진행하고 결과를 분석하였다. 제안하는 시스템은 효율적인 맞춤형 채용지원 기능이 가능하도록 지능형 웹/앱 개발에 필요한 요소기술을 융합하여 설계하였으며, 도출된 설계 사양 및 프로토타입 개발 결과를 바탕으로 상용화 구현이 된다면 인재 채용시장에서 필요한 지능형 온라인 채용시스템 기술로 확대 활용이 기대될 수 있다.

In this study, a prototype design model was proposed for developing an online recruitment system through multi-dimensional data crawling and social media analysis, and validates text information and video interview in job application process. This study includes a comparative analysis process through text mining to verify the authenticity of job application paperwork and to effectively hire and allocate workers based on the potential job capability. Based on the prototype system, we conducted performance tests and analyzed the result for key performance indicators such as text mining accuracy and interview STT(speech to text) function recognition rate. If commercialized based on design specifications and prototype development results derived from this study, it may be expected to be utilized as the intelligent online recruitment system technology required in the public and private recruitment markets in the future.

키워드

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