The Journal of the Korea Contents Association (한국콘텐츠학회논문지)

The Korea Contents Association (한국콘텐츠학회)
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Case-based Filtering by Using Degree of Membership for Digital Contents

디지털 콘텐츠를 위한 소속도를 이용한 사례기반 필터링

  • 김형일 (나사렛대학교 멀티미디어학과)
  • Received : 2010.10.04
  • Accepted : 2010.10.25
  • Published : 2010.10.28
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Abstract

As digital contents become vast in quantity, it takes long time for users to search the digital contents they want, which is a problem that has arisen. Therefore, it is required to have the technology that analyzes vast digital contents and extracts the appropriate contents for users in order to provide them with contents they want. For a fast searching of digital contents suitable for users, it is necessary to have the technology of filtering for digital contents. In this paper, we propose a method of filtering digital contents suitable for individual users. The method suggested in this paper is to analyze case-based information in digital contents and provide the digital contents suitable for individual users. The case for using digital contents is used for analysis of users' preference. Various simulations were conducted to confirm the effectiveness of the proposed method.

디지털 콘텐츠의 양이 방대해지면서 사용자가 원하는 디지털 콘텐츠를 검색하는 데 많은 시간이 필요하다. 그러므로 방대한 디지털 콘텐츠로부터 사용자가 원하는 콘텐츠를 제공하기 위해서는 디지털 콘텐츠를 분석하여 사용자에게 적합한 콘텐츠를 추출하는 기술이 필요하다. 그리고 빠른 시간 내에 사용자에게 적합한 디지털 콘텐츠를 찾기 위해서는 디지털 콘텐츠에 대한 필터링 기술이 필요하다. 본 논문에서는 개인에게 적합한 디지털 콘텐츠를 필터링하는 기법을 제안한다. 본 논문에서 제안한 기법은 디지털 콘텐츠에 대한 사례기반 정보를 분석하여 개인 사용자에게 적합한 디지털 콘텐츠를 제공한다. 사용자의 선호도 분석에는 디지털 콘텐츠 사용에 대한 사례를 이용한다. 다양한 시뮬레이션을 통해 제안한 기법의 효과를 확인하였다.

Keywords

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