The Journal of the Convergence on Culture Technology (문화기술의 융합)

The International Promotion Agency of Culture Technology (국제문화기술진흥원)
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Cross Media-Platform Book Recommender System: Based on Book and Movie Ratings

사용자 영화취향을 반영한 크로스미디어 플랫폼 도서 추천 시스템

  • 김성섭 (한동대학교 ICT 창업학부) ;
  • 한선우 (한동대학교 ICT 창업학부) ;
  • 목하은 (한동대학교 ICT 창업학부) ;
  • 최혜봉 (한동대학교 ICT 창업학부)
  • Received : 2020.12.18
  • Accepted : 2021.01.13
  • Published : 2021.02.28
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Abstract

Book recommender system, which suggests book to users according to their book taste and preference effectively improves users' book-reading experience and exposes them to variety of books. Insufficient dataset of book rating records by users degrades the quality of recommendation. In this study, we suggest a book recommendation system that makes use of user's book ratings collaboratively with user's movie ratings where more abundant datasets are available. Through comprehensive experiment, we prove that our methods improve the recommendation quality and effectively recommends more diverse kind of books. In addition, this will be the first attempt for book recommendation system to utilize movie rating data, which is from the media-platform other than books.

도서 취향을 고려하여 도서를 추천해주는 도서 추천 시스템은 사용자의 독서 경험과 독서에 대한 인식 개선에 효과적이다. 축적된 사용자 평점 기록이 상대적으로 적은 도서의 경우 추천 정확도에 한계가 나타난다. 본 연구에서는 상대적으로 풍부한 사용자 평점 데이터를 가진 영화 평점 정보를 이용하여 사용자에게 맞춤형 도서를 추천하는 추천 시스템을 제안한다. 제안하는 방법을 통해 도서 추천의 정확도를 높이고 보다 다양한 종류의 추천을 수행하는데 효과적임을 보였다. 영화 평점 데이터를 활용한 도서추천 시스템은 도서 분야 외 타 미디어 플랫폼의 데이터를 도서추천에 활용하는 의미 있는 시도가 될 것으로 예상한다.

Keywords

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