한국콘텐츠학회논문지 (The Journal of the Korea Contents Association)

한국콘텐츠학회 (The Korea Contents Association)
권호 표지
DOI QR코드

DOI QR Code

디지털 콘텐츠를 위한 소속도를 이용한 사례기반 필터링

Case-based Filtering by Using Degree of Membership for Digital Contents

  • 김형일 (나사렛대학교 멀티미디어학과)
  • 투고 : 2010.10.04
  • 심사 : 2010.10.25
  • 발행 : 2010.10.28
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

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.

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.

키워드

참고문헌

  1. 이호영, 정은희, 이장혁, 웹2.0시대 디지털 콘텐츠의 사회적 확산 경로 연구, 정보통신정책연구원, 2007.
  2. 김진규, 윤재식, 김은정, 정우식, 이강년, 박성만, 김애경, 2010년 2분기 콘텐츠산업 동향분석보고서, 한국콘텐츠진흥원, 2010.
  3. J. Park and S. Hunting, XML Topic Maps: creating and using topic maps for the Web, Addison-Wesley, 2003.
  4. L. Maicher and J. Park, Charting the Topic Maps Research and Applications Landscape, Springer, 2006.
  5. J. Park and A. Cheyer, "Just For Me: Topic Maps and Ontologies," In Proceedings of the 1st International Workshop on Topic Maps Research and Applications, pp.145-159, 2005(10).
  6. S. Seedorf, A. Korthaus, and M. Aleksy, "Creating a Topic Map Query Tool for Mobile Devices using J2ME and XML," In Proceedings of the 4th International Symposium on Information and Communication Technologies, Vol.92, pp.111-116, 2005(1).
  7. N. Moraveji, A. Travis, M. Bidinost, and M. Halpern, "Designing an Integrated Review Sheet for an Electronic Textbook," In Proceedings of Conference on Human Factors in Computing Systems, pp.892-893, 2003(4). https://doi.org/10.1145/765891.766053
  8. R. Wilson, "The Look and Feel of an Ebook: Considerations in Interface Design," In Proceedings of the 2002 ACM Symposium on Applied Computing, pp.530-534, 2002(3). https://doi.org/10.1145/508791.508893
  9. S. K. Card, L. Hong, J. D. Mackinlay, and E. H. Chi, "3Book: A 3D Electronic Smart Book," In Proceedings of the Working Conference on Advanced Visual Interfaces, pp.303-307, 2004(5).
  10. S. K. Card, L. Hong, J. D. Mackinlay, and E. H. Chi, "3Book: A Scalable 3D Virtual Book," In Proceedings of Conference on Human Factors in Computing Systems, pp.1095-1098, 2004(4). https://doi.org/10.1145/985921.985997
  11. Y. Chu, I. H. Witten, R. Lobb, and D. Bainbridge, "How to Turn the Page," In Proceedings of the 3rd ACM/IEEE-CS Joint Conference on Digital Libraries, pp.186-188, 2003(5). https://doi.org/10.1109/JCDL.2003.1204862
  12. S. V. Agoshkov and P. A. Dmitriev, "Electronic Publication Maintenance Systems," Programming and Computer Software, Vol.28, No.5, pp.293-300, 2002(9). https://doi.org/10.1023/A:1020216329782
  13. J. Konstan, B. Millr, D. Maltz, J. Herlocker, L. Gordon, and J. Riedl, "GroupLens: Applying Collaborative Filtering to Usenet News," Communications of the ACM, Vol.40, No.3, pp.77-87, 1997(3). https://doi.org/10.1145/245108.245126
  14. J. Breese, D. Heckerman, and C. Kadie, "Empirical Analysis of Predictive Algorithms for Collaborative Filtering," In Proceedings of the 14th Annual Conference on Uncertainty in Artificial Intelligence, pp.43-52, 1998(7).
  15. J. Herlocker, J. Konstan, A. Borchers, and J. Riedl, "An Algorithmic Framework for Performing Collaborative Filtering," In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.230-237, 1999(8). https://doi.org/10.1145/312624.312682
  16. D. Billsus, and M. J. Pazzani, "Learning Collaborative Information Filters," In Proceedings of the 15th International Conference on Machine Learning, pp.46-54, 1998(7).
  17. B. Sarwar, G. Karypis, J. Konstan, and J. Riedl, "Application of Dimensionality Reduction in Recommender System-A Case Study," In Proceedings of the ACM WebKDD Workshop, 2000(8).
  18. M. Deshpande and G. Karypis, "Item-Based Top-N Recommendation Algorithms," ACM Transaction on Information Systems, Vol.22, No.1, pp.143-177, 2004(1). https://doi.org/10.1145/963770.963776
  19. B. Sarwar, G. Karypis, J. Konstan, and J. Riedl, "Item-based Collaborative Filtering Recommendation Algorithms," In Proceedings of the 10th International WWW Conference, pp.285-295, 2001(5).
  20. G. Linden, B. Smith, and J. York, "Amazon. com Recommendations: Item-to-Item Collaborative Filtering," IEEE Internet Computing, pp.76-80, 2003(2). https://doi.org/10.1109/MIC.2003.1167344