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

Hee-Jun Han 1 Yunsoo Choi 2 Sung-Pil Choi 3

1한국과학기술정보연구원
2경기대학교 일반대학원 문헌정보학과
3경기대학교

Excellent Accredited

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.

Citation status

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