A Case Study on the Personalized Online Recruitment Services : Focusing on Worldjob+'s Use of Splunk

개인화된 구직정보서비스 제공에 관한 사례연구 : 월드잡플러스의 스플렁크 활용을 중심으로

  • Rhee, MoonKi Kyle (School of Business, SungKyunKwan University) ;
  • Lee, Jae Deug (Information Support Bureau, Human Resources Development Service of Korea) ;
  • Park, Seong Taek (Management Information System, Chungbuk National University)
  • 이문기 (성균관대학교 경영대학) ;
  • 이재덕 (한국산업인력공단 정보화지원국) ;
  • 박성택 (충북대학교 경영정보학과)
  • Received : 2017.12.13
  • Accepted : 2018.02.20
  • Published : 2018.02.28


Online recruitment services have emerged as one of the most popular Internet services, providing job seekers with a comprehensive list of jobs and a search engine. But many recruitment services suffer from shortcomings due to their reliance on traditional client-pull information access model, in manay cases resulting in unfocused search results. Worldjob+, being operated by The Human Resources Development Service of Korea, addresses these problems and uses Splunk, a platform for analyzing machine data, to provide a more proactive and personalised services. It focuses on enhancing the existing system in two different ways: (a) using personalised automated matching techniques to proactively recommend most preferrable profile or specification information for each job opening announcement or recruiting company, (b) and to recommend most preferrable or desirable job opening announcement for each job-seeker. This approach is a feature-free recommendation technique that recommends information items to a given user based on what similar users have previously liked. A brief discussion about the potential benefit is also provided as a conclusion.


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