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

Kim,, Y. (2012). A Study on Design and Implementation of Personalized Information Recommendation System based on Apriori Algorithm. 한국비블리아학회지, 23(4), 283-308, https://doi.org/10.14699/kbiblia.2012.23.4.283

copy

Downloaded
Viewed

PDF Download

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

바로가기메뉴

Article Contents

Vol.23 No.4

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

Abstract

한국비블리아학회지