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

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Vol.23 No.4

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A Study on Design and Implementation of Personalized Information Recommendation System based on Apriori Algorithm

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
2012, v.23 no.4, pp.283-308
https://doi.org/10.14699/kbiblia.2012.23.4.283
Kim, Yong
Kim,, Y. (2012). A Study on Design and Implementation of Personalized Information Recommendation System based on Apriori Algorithm. , 23(4), 283-308, https://doi.org/10.14699/kbiblia.2012.23.4.283

Abstract

With explosive growth of information by recent advancements in information technology and the Internet, users need a method to acquire appropriate information. To solve this problem, an information retrieval and filtering system was developed as an important tool for users. Also, users and service providers are growing more and more interested in personalized information recommendation. This study designed and implemented personalized information recommendation system based on AR as a method to provide positive information service for information users as a method to provide positive information service. To achieve the goal, the proposed method overcomes the weaknesses of existing systems, by providing a personalized recommendation method for contents that works in a large-scaled data and user environment. This study based on the proposed method to extract rules from log files showing users' behavior provides an effective framework to extract Association Rule.

keywords
개인화, 추천, 연관규칙, 선호도, 정보여과, Apriori 알고리즘

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