A Study on Design and Implementation of Personalized Information Recommendation System based on Apriori Algorithm (Apriori 알고리즘 기반의 개인화 정보 추천시스템 설계 및 구현에 관한 연구)

Yong Kim (김용)

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

Journal of the Korean Biblia Society for Library and Information Science
2012, 23(4), pp.283-308
Publisher : Journal Of The Korean Biblia Society For Library And Information Science
Research Area : Interdisciplinary Studies > Library and Information Science

Yong Kim ¹

¹전북대학교

Accredited

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

Citation status

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

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