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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 / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2019, v.36 no.4, pp.183-205
https://doi.org/10.3743/KOSIM.2019.36.4.183
Ji-yeon Baek
Hyo-Jung Oh
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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.

keywords
국가기록원, 정보요구, 질의로그, 빅데이터, national archives of Korea, information needs, query log, big data
Submission Date
2019-11-17
Revised Date
2019-12-18
Accepted Date
2019-12-23

Journal of the Korean Society for Information Management