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논문 기본 정보

자료유형
학술저널
저자정보
Jong Hwa Lee (Dong-eui University)
저널정보
한국인터넷전자상거래학회 인터넷전자상거래연구 인터넷전자상거래연구 제23권 제2호
발행연도
2023.4
수록면
127 - 139 (13page)
DOI
10.37272/JIECR.2023.04.23.2.127

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초록· 키워드

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The development of information and communication technology and changes in the global environment of companies are also changing in the recruitment market. Since employment information is not disclosed and hired at a time when the company"s recruitment method is standardized, it is necessary for the analysis of existing recruitment information. By studying the specific weight of each job, we intend to resolve the information imbalance between job search and job search.
This study used Google"s PageRank algorithm as a job recommendation system through specification analysis of job seekers. Specification keywords for each job were derived through the process of analyzing the company"s employment information specifications and the video specifications of those with experience in employment. Job seekers analyzed quantitative data such as major competency, foreign language competency, activity competency, IT competency, experience competency, and major completion subject, and qualitative data, which is a self-introduction letter. Through data convergence analysis such as recruitment data and experienced video, it was found that job recommendation services based on the competency of job seekers were possible.

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Abstract
Ⅰ. Introduction
Ⅱ. Literature Review
Ⅲ. Research Model and Framework
Ⅳ. Experiment results
Ⅴ. Conclusion
References

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