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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
  • Abbr : JKOSIM
  • 2006, 23(3), pp.91~126
  • DOI : 10.3743/KOSIM.2006.23.3.091
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : August 10, 2006
  • Accepted : September 15, 2006
  • Published : September 30, 2006

Yong Kim 1 Sung Been Moon 2

1전북대학교
2연세대학교

Accredited

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.

Citation status

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