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User Information Needs Analysis based on Query Log Big Data of the National Archives of Korea

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2019, 36(4), pp.183~205
  • DOI : 10.3743/KOSIM.2019.36.4.183
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : November 17, 2019
  • Accepted : December 23, 2019
  • Published : December 30, 2019

BAEK JI YEON 1 Hyo-Jung Oh 1

1전북대학교

Accredited

ABSTRACT

Among the various methods for identifying users’s information needs, Log analysis methods can realistically reflect the users’ actual search behavior and analyze the overall usage of most users. Based on the large quantity of query log big data obtained through the portal service of the National Archives of Korea, this study conducted an analysis by the information type and search result type in order to identify the users’ information needs. The Query log used in analysis were based on 1,571,547 query data collected over a total of 141 months from 2007 to December 2018, when the National Archives of Korea provided search services via the web. Furthermore, based on the analysis results, improvement methods were proposed to improve user search satisfaction. The results of this study could actually be used to improve and upgrade the National Archives of Korea search service.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.