Journal of Korean Society for Quality Management (품질경영학회지)

Korean Society for Quality Management (한국품질경영학회)
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Quality Indicator Based Recommendation System of the National Assembly Members for Political Sponsors

품질지표기반 정치 후원금 지원을 위한 국회의원 추천시스템 연구

  • Jung, Hyun Woo (School of Business, Yonsei University) ;
  • Yoon, Hyung Jun (Department of Astronomy, Yonsei University) ;
  • Lee, See Eun (Department of Industrial Engineering, Yonsei University) ;
  • Park, Sol Hee (Department of Industrial Engineering, Yonsei University) ;
  • Sohn, So Young (Department of Industrial Engineering, Yonsei University)
  • 정현우 (연세대학교 경영학과) ;
  • 윤형준 (연세대학교 천문우주학과) ;
  • 이시은 (연세대학교 산업공학과) ;
  • 박솔희 (연세대학교 산업공학과) ;
  • 손소영 (연세대학교 산업공학과)
  • Received : 2020.11.17
  • Accepted : 2021.02.22
  • Published : 2021.03.31
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Abstract

Purpose: During 2015-2019, the average amount of political donation to the national assembly members in Korea was 1,000 won per person. Despite its benefits such as receiving tax credits, the donation system has not been actively practiced. This paper aims to promote political donations by suggesting a recommendation system of national assembly members by analysing the bills they proposed. Methods: In this paper, we propose a recommendation system based on two aspects: how similar the newly proposed or ammended bills are to the sponsors' interest (similarity index) and how much effort national assembly members put into those bills (intensity index). More than 25,000 bills were used to measure the recommendation quality index consisted with both the similarity and the intensity indices. Word2vec was used to calculate the similarity index of the bills proposed by the national assembly member to the sponsor's interest. The intensity index is calculated by diving the number of newly proposed or entirely revised bills with the number of senators who took part in those bills. Subsequently, we multiply the similarity index by the intensity index to obtain the recommendation quality index that can assist sponsors to identify potential assembly members for their donation. Results: We apply the proposed recommendation system to personas for illustration. The recommendation system showed an average f1 score about 0.69. The analysis results provide insights in recommendation for donation. Conclusion: n this study, the recommendation system was proposed to promote a political donation for national assembly members by creating the recommendation quality index based on the similarity and the intensity indices. We expect that the system presented in this paper will lower user barriers to political information, thereby boosting political sponsorship and increasing political participation.

Keywords

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