Journal of Information Management (정보관리연구)

Korea Institute of Science and Technology Information (한국과학기술정보연구원 과학기술정보센터)
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Developing a Book Recommendation System Using Filtering Techniques

필터링 기법을 이용한 도서 추천 시스템 구축

  • Chung, Young-Mee (Library & Information Science Dept., Yonsei University) ;
  • Lee, Yong-Gu (Graduate School of Library & Information Science, Yonsei University)
  • 정영미 (연세대학교 문헌정보학과) ;
  • 이용구 (연세대학교 문헌정보학과 대학원)
  • Published : 2002.03.31
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Abstract

This study examined several recommendation techniques to construct an effective book recommender system in a library. Experiments revealed that a hybrid recommendation technique is more effective than either collaborative filtering or content-based filtering technique in recommending books to be borrowed in an academic library setting. The recommendation technique based on association rule turned out the lowest in performance.

이 연구에서는 최근에 주목받고 있는 협업 필터링 기법을 중심으로 여러 가지 추천 기법을 살펴본 후 대출대상 도서의 추천 시스템을 구축하였다. 연관성 규칙 기반 기법, 협업 필터링 기법, 내용기반 필터링 기법을 응용하여 실제 대학도서관에서 특정 이용자가 대출할 만한 도서를 추천하는 시스템을 구현하고 각 기법의 추천 성능을 평가하였다. 실험 결과 대출대상 도서를 추천하는 데 있어 협업 필터링 기법과 내용기반 필터링 기법을 각각 따로 적용하는 것보다 두 기법을 함께 이용한 혼합형 필터링 추천 기법이 더욱 효과적인 것으로 나타났다.

Keywords

References

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