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Journal Of Korean Biblia Society for Library and Information Science

  • P-ISSN1229-2435
  • E-ISSN2799-4767
  • KCI

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Vol.28 No.4

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Personal Recommendation Service Design Through Big Data Analysis on Science Technology Information Service Platform

Journal Of Korean Biblia Society for Library and Information Science / Journal Of Korean Biblia Society for Library and Information Science, (P)1229-2435; (E)2799-4767
2017, v.28 no.4, pp.501-518
https://doi.org/10.14699/kbiblia.2017.28.4.501
Kim, Dou-Gyun
Kim,, D. (2017). Personal Recommendation Service Design Through Big Data Analysis on Science Technology Information Service Platform. , 28(4), 501-518, https://doi.org/10.14699/kbiblia.2017.28.4.501

Abstract

Reducing the time it takes for researchers to acquire knowledge and introduce them into research activities can be regarded as an indispensable factor in improving the productivity of research. The purpose of this research is to cluster the information usage patterns of KOSEN users and to suggest optimization method of personalized recommendation service algorithm for grouped users. Based on user research activities and usage information, after identifying appropriate services and contents, we applied a Spark based big data analysis technology to derive a personal recommendation algorithm. Individual recommendation algorithms can save time to search for user information and can help to find appropriate information.

keywords
추천시스템, 개인화시스템, 과학기술정보, 빅데이터, 한민족과학기술자네트워크

Journal Of Korean Biblia Society for Library and Information Science

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