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http://dx.doi.org/10.3743/KOSIM.2019.36.4.183

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

Baek, Ji-yeon (전북대학교 일반대학원 기록관리학과)
Oh, Hyo-Jung (전북대학교 문헌정보학과, 문화융복합아카이빙연구소)
Publication Information
Journal of the Korean Society for information Management / v.36, no.4, 2019 , pp. 183-205 More about this Journal
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
national archives of Korea; information needs; query log; big data;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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