Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Implementation of a Personalized Restaurant Recommendation System for The Mobility Handicapped

교통약자를 위한 맞춤형 식당 추천시스템 구현

  • Lee, Jin-Ju (School of Business, Yeungnam University) ;
  • Park, So-Yeon (School of Information and Communication Engineering, Yeungnam University) ;
  • Kim, Seo-Yun (School of Statistics, Yeungnam University) ;
  • Lee, Jeong-Eun (Department of Statistics, Kyungpook University) ;
  • Kim, Keun-Wook (Big Data Center, Daegu Digital Industry Promotion Agency)
  • 이진주 (영남대학교 경영학과) ;
  • 박소연 (영남대학교 정보통신공학과) ;
  • 김서윤 (영남대학교 통계학과) ;
  • 이정은 (경북대학교 통계학과) ;
  • 김건욱 (대구디지털산업진흥원 빅데이터활용센터)
  • Received : 2021.02.10
  • Accepted : 2021.05.20
  • Published : 2021.05.28
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Abstract

The mobility handicapped are representative socially vulnerable people who account for a high percentage of our society. Due to the recent development of technology, personalized welfare technologies for the socially vulnerable are being studied, but it is relatively insufficient compared to the general people. In this study, we intend to implement a personalized restaurant recommendation system for the mobility handicapped. To this end, a hybrid recommendation system was implemented by combining the data of special transportation boarding and alighting history (7,153 cases) and information of Daegu Food restaurants (955 cases). In order to evaluate the effectiveness of the implemented recommendation system, we conducted performance comparisons with existing recommendation systems by prediction error rate and recommendation coverage. As a result of the analysis, the performance was higher than that of the existing recommendation system, and the possibility of a personalized restaurant recommendation system for the mobility handicapped was confirmed. In addition, we also confirmed the correlation in which similar restaurants are recommended in some types of the mobility handicapped. As a result of this study, it is judged that it will contribute to the use of restaurants with high satisfaction for the mobility handicapped, and the limitations of the study are also presented.

교통약자는 우리 사회의 높은 비율을 차지하고 있는 대표적인 사회 취약계층이다. 최근 기술의 발달로 사회취약 계층을 위한 맞춤형 복지 기술이 연구되고 있으나, 일반인들과 비교하면 상대적으로 부족한 실정이다. 이에 본 연구에서는 교통약자를 위한 맞춤형 식당 추천시스템을 구현하고자 한다. 이를 위해 특별교통수단 승하차 이력(7,153건), 대구 푸드 식당 상세정보(955건)의 자료를 결합하여 하이브리드 추천시스템을 구현하였다. 구현된 추천시스템의 유효성 평가를 위해 예측 오차율, 추천 커버리지로 기존 추천시스템들과 성능 비교를 수행하여 유효성을 검증하였다. 분석 결과 기존 추천시스템보다 높은 성능으로 나타났으며, 교통약자를 위한 맞춤형 식당 추천시스템의 가능성을 확인하였다. 또한 일부 교통약자 유형에서 유사한 식당이 추천되는 상관성을 확인하였다. 본 연구결과는 교통약자들의 만족도 높은 식당 이용에 기여할 것으로 판단되며, 연구의 한계점 또한 제시하였다.

Keywords

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