Journal of Korea Society of Digital Industry and Information Management (디지털산업정보학회논문지)

Korea Society of Digital Industry and Information Management (디지털산업정보학회)
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A Situation-Based Recommendation System for Exploiting User's Mood

사용자의 기분을 고려하기 위한 상황 기반 추천 시스템

  • 김영현 (한국소방산업기술원 기술연구소) ;
  • 임우섭 (한국소방산업기술원 기술연구소) ;
  • 정재한 (한국소방산업기술원 기술연구소) ;
  • 이경전 (경희대학교 경영대학)
  • Received : 2019.07.17
  • Accepted : 2019.08.28
  • Published : 2019.09.30
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Abstract

Recommendation systems help users by suggesting items such as products, services, and information. However, most research on recommendation systems has not considered people's moods although the appropriate contents recommended to people would be changed by people's moods. In this paper, we propose a situation-based recommendation system which exploits people's mood. The proposed scheme is based on the fact that the mood of a user is changed frequently by the surrounding environments such as time, weather, and anniversaries. The environments are defined as feature identifications, and the rating values on items are stored as feature identifications at a database. Then, people can be recommended diverse items according to their environments. Our proposed scheme has some advantages such as no problem of cold start, low processing overhead, and serendipitous recommendation. The proposed scheme can be also a good option as of assistance to other recommendation systems.

Keywords

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