Journal of the Korean Society for information Management (정보관리학회지)

Korean Society for Information Management (한국정보관리학회)
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ChatGPT-Based Book Recommendation System for Learning Korean in a University Library

ChatGPT를 활용한 대학도서관의 한국어 학습지원 도서 추천 방안에 대한 연구

  • Jung Im Yun ;
  • Sanghee Choi
  • 윤정임 (대구가톨릭대학교 학술정보지원팀) ;
  • 최상희 (대구가톨릭대학교 문헌정보학과)
  • Received : 2024.08.15
  • Accepted : 2024.09.01
  • Published : 2024.09.30
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Abstract

This study examined university library services for students, including international students, and the AI-based information services provided by libraries. Additionally, the standards of Korean language education for international students were investigated. Based on the analysis of library services and these standards, a book recommendation system for learning Korean was developed using ChatGPT. The recommendation results from three training datasets were evaluated for recommendation precision. The results of the chatbot's book recommendations based on the 13 test questions were evaluated by recommendation precision. The comparison of the recommendation precision showed that the chatbot using the combined dataset was more successful in recommending all relevant books compared to the individual datasets. This study serves as an example of an effective approach to utilizing artificial intelligence technology for user services in university libraries.

이 연구에서는 외국인 학생들 대상으로 한국어 학습을 지원하는 도서 추천을 서비스하기 위하여 ChatGPT를 기반으로 한국어 학습을 위한 도서 추천 시스템을 구현한 후 추천된 도서의 적합성을 평가하여 구축된 시스템의 효용성을 분석하였다. ChatGPT 챗봇을 위한 학습데이터는 등급별 주제키워드 목록, 도서별 주제키워드 목록, 혼합목록 등 세 가지 유형으로 구현되었고 13개의 표준 질의를 적용하여 챗봇의 도서 추천 결과를 추천도서 정확률로 평가하였다. 추천도서 정확률 비교 결과, 혼합목록을 적용한 챗봇이 등급별 주제 키워드와 도서별 주제키워드를 적용한 개별 목록에 비해 모든 관련 도서를 추천하는데 더 성공적인 것으로 나타났다. 이 연구에서 ChapGPT를 도서추천에 활용한 사례는 대학 도서관에서 다양한 이용자 서비스를 위해 인공지능 기술을 활용하는 시도로 해석될 수 있다.

Keywords

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