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http://dx.doi.org/10.4275/KSLIS.2018.52.3.005

A Study on Personalization of Science and Technology Information by User Interest Tracking Technique  

Han, Heejun (한국과학기술정보연구원 융합서비스센터)
Choi, Yunsoo (경기대학교 일반대학원 문헌정보학과)
Choi, Sung-Pil (경기대학교 휴먼인재융합대학 문헌정보학과)
Publication Information
Journal of the Korean Society for Library and Information Science / v.52, no.3, 2018 , pp. 5-33 More about this Journal
Abstract
In this paper, we analyze a user's usage behavior, identify and track search intention and interest field based on the National Science and Technology Standard Classification, and use it to personalize science and technology information. In other words, we sought to satisfy both efficiency and satisfaction in searching for information that users want by improving scientific information search performance. We developed the personalization service of science and technology information and evaluated the suitability and usefulness of personalized information by comparing the search performance between expert experimental group and control group. As a result, the personalization service proposed in this study showed better search performance than comparative service and proved to provide higher usability.
Keywords
Personalized Search; Interest Tracking; Science and Technology Information; Search Performance Evaluation; User Behavior;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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