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이미지 기반 디지털 도서관에서 이용자 검색 패턴의 효과적 이해를 위한 트랜잭션 로그 데이터 분석

Using Transaction Logs to Better Understand User Search Session Patterns in an Image-based Digital Library

  • Han, Hye-Jung (School of Information Studies, University of Wisconsin-Milwaukee) ;
  • Joo, Soohyung (School of Information Studies, University of Wisconsin-Milwaukee) ;
  • Wolfram, Dietmar (School of Information Studies, University of Wisconsin-Milwaukee)
  • 투고 : 2014.02.09
  • 심사 : 2014.03.16
  • 발행 : 2014.03.30

초록

본 연구는 이미지 기반 디지털 도서관의 이용자 검색 패턴을 효과적으로 분석하기 위해 이용자 검색 로그 데이터를 분석하였다. 기술 통계와 네트워크 분석 방법을 사용하여 한 달간 수집한 트랜잭션 로그 데이터를 분석하였다. 연구 결과는 이용자들이 특정 주제 내에서 검색 결과 보기와 이미지 아이템 평가를 반복적으로 수행하고 있음을 밝혀내었다. 본 연구는 이미지 자료 검색의 로그 분석을 위해 복합적 데이터 분석 방법을 이용하였다는 점에 의의가 있다.

Server transaction logs containing complete click-through data from a digital library of primarily image-based documents were analyzed to better understand user search session behavior. One month of data was analyzed using descriptive statistics and network analysis methods. The findings reveal iterative search behaviors centered on result views and evaluation and topical areas of focus for the search sessions. The study is novel in its combined analytical techniques and use of click-through data for image collections.

키워드

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