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Using Metaverse and AI recommendation services Development of Korea's leading kiosk usage service guide

메타버스와 AI 추천서비스를 활용한 국내 대표 키오스크 사용서비스 안내 개발

  • SuHyeon Choi (Dept. of Management informatics Kyonggi University) ;
  • MinJung Lee (Dept. of Management informatics Kyonggi University) ;
  • JinSeo Park (Dept. of Management informatics Kyonggi University) ;
  • Yeon Ho Seo (Dept. of computer engineer, Sogang University) ;
  • Jaehyun Moon (Korea Technology Transfer Agents Association)
  • 최수현 (경기대학교 경영정보전공) ;
  • 이민정 (경기대학교 경영정보전공) ;
  • 박진서 (경기대학교 경영정보전공) ;
  • 서연호 (서강대학교 컴퓨터공학과) ;
  • 문재현 (한국기술거래사회)
  • Published : 2023.11.02

Abstract

This paper is about the development of kiosks that provide four types of service. Simple UI and educational videos solve the complexity of existing kiosks and provide an intuitive and convenient screen to users. In addition, the AR function, which is a three-dimensional form, shows directions and store representative images. After storing user information in the DB, a learning model is generated using user-based KNN collaborative filtering to provide a recommendation menu. As a result, it is possible to increase user convenience through kiosks using metaverse and AI recommendation services. It is also expected to solve digital alienation of social classes who have difficulty using kiosks.

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