Journal of the Korean Society for Library and Information Science (한국문헌정보학회지)

Korean Society For Library And Information Science (한국문헌정보학회)
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A Study on Personalization of Science and Technology Information by User Interest Tracking Technique

개인 관심분야 추적기법을 이용한 과학기술정보 개인화에 관한 연구

  • 한희준 (한국과학기술정보연구원 융합서비스센터) ;
  • 최윤수 (경기대학교 일반대학원 문헌정보학과) ;
  • 최성필 (경기대학교 휴먼인재융합대학 문헌정보학과)
  • Received : 2018.07.16
  • Accepted : 2018.08.10
  • Published : 2018.08.31
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Abstract

In this paper, we analyze a user's usage behavior, identify and track search intention and interest field based on the National Science and Technology Standard Classification, and use it to personalize science and technology information. In other words, we sought to satisfy both efficiency and satisfaction in searching for information that users want by improving scientific information search performance. We developed the personalization service of science and technology information and evaluated the suitability and usefulness of personalized information by comparing the search performance between expert experimental group and control group. As a result, the personalization service proposed in this study showed better search performance than comparative service and proved to provide higher usability.

본 연구의 목적은 사용자의 정보 서비스 이용행태를 분석하여 검색하는 의도와 관심분야를 국가과학기술표준분류기반으로 파악하고 추적하며, 이를 이용해 과학기술정보를 개인화하는 것이다. 즉 과학기술정보 검색 성능을 개선하여 사용자가 원하는 정보를 탐색하는데 효율성과 만족도를 동시에 충족시키고자 하였다. 실시간 관심분야 추적, 관심태그 클라우드 제공, 관심분야 기반 추천정보 제공, 검색 결과 개인화 네 가지 기능으로 구성된 과학기술정보 개인화 서비스를 개발하여 전문가 실험집단과 통제집단과의 검색 성능 비교를 통해 개인화 정보의 적합성 및 개인화 기능 유용성을 평가하였다. 그 결과 본 연구에서 제안된 개인화 서비스가 비교 대상 서비스보다 검색 성능이 더 우수한 것으로 나타났으며 더 높은 유용성을 제공하는 것을 입증하였다.

Keywords

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