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http://dx.doi.org/10.14699/kbiblia.2012.23.4.283

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

Kim, Yong (전북대학교 문헌정보학과, 인문영상연구소)
Publication Information
Journal of the Korean BIBLIA Society for library and Information Science / v.23, no.4, 2012 , pp. 283-308 More about this Journal
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
Personalization; Recommendation; Association Rule; User Preference; Information Filtering; Apriori Algorithm;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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