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A Study of Personalized Retrieval System through Society of Korean Journal Articles of Science and Technology

Kwang-Young Kim 1 Kwak, Seung-Jin 2

1한국과학기술정보연구원
2충남대학교

Accredited

ABSTRACT

In this research, we analyze about the general service provided by Society of Korean journal articles of science and technology. Personalized retrieval services which are suitable to the articles service were developed based on this. That is, there are personalized retrieval system based on user's keyword, authors navigation system, automatic topic recommendation system based on author's keyword, and similar user automatic recommendation system. In this research, personalized service methods being suitable to the articles service of Society tries to be considered through the user survey.

Citation status

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