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Vol.23 No.3
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A Study on Hybrid Recommendation System Based on Usage frequency for Multimedia Contents

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2006, v.23 no.3, pp.91-125
https://doi.org/10.3743/KOSIM.2006.23.3.091


& (2006). A Study on Hybrid Recommendation System Based on Usage frequency for Multimedia Contents. Journal of the Korean Society for Information Management, 23(3), 91-125, https://doi.org/10.3743/KOSIM.2006.23.3.091
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Abstract

Recent advancements in information technology and the Internet have caused an explosive increase in the information available and the means to distribute it. However, such information overflow has made the efficient and accurate search of information a difficulty for most users. To solve this problem, an information retrieval and filtering system was developed as an important tool for users. Libraries and information centers have been in the forefront to provide customized services to satisfy the user's information needs under the changing information environment of today. The aim of this study is to propose an efficient information service for libraries and information centers to provide a personalized recommendation system to the user. The proposed method overcomes the weaknesses of existing systems, by providing a personalized hybrid recommendation method for multimedia contents that works in a large-scaled data and user environment. The system based on the proposed hybrid method uses an effective framework to combine Association Rule with Collaborative Filtering Method.

keywords
Personalization, Recommendation, Hybrid, Collaborative filtering, Association rule, Information filtering, User preference, 개인화, 추천, 협업여과, 연관규칙, 선호도, 정보여과, 하이브리드

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