Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
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Design and Implementation of Place Recommendation System based on Collaborative Filtering using Living Index

생활지수를 이용한 협업 필터링 기반 장소 추천 시스템의 설계 및 구현

  • Lee, Ju-Oh (Department of Computer Engineering, Sejong University) ;
  • Lee, Hyung-Geol (Department of Computer Engineering, Sejong University) ;
  • Kim, Ah-Yeon (Department of Computer Engineering, Sejong University) ;
  • Heo, Seung-Yeon (Department of Computer Engineering, Sejong University) ;
  • Park, Woo-Jin (Department of Computer Engineering, Sejong University) ;
  • Ahn, Yong-Hak (Department of Computer Engineering, Sejong University)
  • 이주오 (세종대학교 컴퓨터공학과) ;
  • 이형걸 (세종대학교 컴퓨터공학과) ;
  • 김아연 (세종대학교 컴퓨터공학과) ;
  • 허승연 (세종대학교 컴퓨터공학과) ;
  • 박우진 (세종대학교 컴퓨터공학과) ;
  • 안용학 (세종대학교 컴퓨터공학과)
  • Received : 2020.06.19
  • Accepted : 2020.08.20
  • Published : 2020.08.28
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Abstract

The need for personalized recommendation is growing due to convenient access and various types of items due to the development of information communication and smartphones. Weather and weather conditions have a great influence on the decision-making of users' places and activities. This weather information can increase users' satisfaction with recommendations. In this paper, we propose a collaborative filtering-based place recommendation system using living index by utilizing living index of users' location information on mobile platform to find users with similar propensity and to recommend places by predicting preferences for places. The proposed system consists of a weather module for analyzing and classifying users' weather, a recommendation module using collaborative filtering for place recommendations, and a management module for user preferences and post-management. Experiments have shown that the proposed system is valid in terms of the convergence of collaborative filtering algorithms and living indices and reflecting individual propensity.

정보 통신과 스마트폰 등의 발달로 인한 편리한 접근성과 다양한 아이템의 종류로 인해 개인 맞춤형 추천의 필요성은 점차 커지고 있다. 날씨 및 기상환경은 사용자의 장소 및 활동의 의사결정에 많은 영향을 미친다. 이러한 날씨 정보를 이용하면 추천에 대한 사용자의 만족도를 높일 수 있다. 본 논문에서는 모바일 플랫폼에서 사용자의 위치 정보에 대한 생활지수를 활용하여 성향이 유사한 사용자를 구하고 장소에 대한 선호도를 예측하여 장소를 추천함으로써 생활지수를 이용한 협업 필터링 기반 장소 추천 시스템을 제안한다. 제안된 시스템은 사용자의 날씨를 분석하고 분류하기 위한 날씨 모듈과 장소 추천을 위한 협업 필터링을 사용하는 추천 모듈, 그리고 사용자의 선호도 및 후기 관리를 위한 관리 모듈로 구성된다. 실험 결과, 제안된 시스템은 협업 필터링 알고리즘과 생활지수의 융합 및 개인의 성향을 반영하는 측면에서 유효함을 확인할 수 있었다.

Keywords

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