디지털산업정보학회논문지 (Journal of Korea Society of Digital Industry and Information Management)

  • 제6권1호
  • /
  • Pages.143-149
  • /
  • 2010
  • /
  • 1738-6667(pISSN)
  • /
  • 2713-9018(eISSN)
디지털산업정보학회 (Korea Society of Digital Industry and Information Management)
권호 표지
DOI QR코드

DOI QR Code

상황인식 정보 검색 기법을 이용한 하이브리드 협업 필터링 기법

A Hybrid Collaborative Filtering Method using Context-aware Information Retrieval

  • 김성림 (서일대학 인터넷정보과) ;
  • 권준희 (경기대학교 컴퓨터과학과)
  • 투고 : 2010.01.23
  • 심사 : 2010.02.25
  • 발행 : 2010.03.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In ubiquitous environment, information retrieval using collaborative filtering is a popular technique for reducing information overload. Collaborative filtering systems can produce personal recommendations by computing the similarity between your preference and the one of other people. We integrate the collaboration filtering method and context-aware information retrieval method. The proposed method enables to find some relevant information to specific user's contexts. It aims to makes more effective information retrieval to the users. The proposed method is conceptually comprised of two main tasks. The first task is to tag context tags by automatic tagging technique. The second task is to recommend items for each user's contexts integrating collaborative filtering and information retrieval. We describe a new integration method algorithm and then present a u-commerce application prototype.

키워드

참고문헌

  1. Chen, A. and McLeod, D., "Collaborative Filtering for Information Recommendation Systems," Encyclopedia of Data Warehousing and Mining, Idea Group, 2005.
  2. Goldberg, D., Nichols, D., Oki, B. M., and Terry, D., "Using Collaborative Filtering to Weave an Information Tapestry," Communications of the ACM, Vol. 35, Issue 12, 1992, pp. 61-70. https://doi.org/10.1145/138859.138867
  3. Bardrul Sarwar, George Karypis, Joseph Konstan, and John Riedl, "Item-Based Collaborative Filtering Recommendation Algorithms", Proceedings of the 10th International Conference on World Wide Web, Hong Kong, 2001, pp.285-295.
  4. Adomavicius, G., Sankaranarayanan, R., Sen, S., and Tuzhilin, A. "Incorporating Contextual Information in Recommender Systems using a Multidimensional Approach," ACM Transactions on Information Systems, Vol. 23, No. 1, 2005, pp. 103-145. https://doi.org/10.1145/1055709.1055714
  5. Anind K. Dey, Daniel Salber, Gregory D. Abowd, "A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications," Anchor Article of a Special Issue on Context-Aware Computing Human-Computer Interaction Journal, Vol. 16, No. 2-4, 2001, pp. 97-166. https://doi.org/10.1207/S15327051HCI16234_02
  6. Upendra Shardanand, and Pattie Maes, "Social Information Filtering: Algorithms for Automating 'Word of Mouth'," In Proceedings of CHI'95 Conference on Human Factors in Computing Systems, 1995, pp. 210-217
  7. Rucker J. and Plance, M. J, "Siteseer: Personalized Navigation for the web," Communications of the ACM, Vol. 40, No. 3, 1997, pp. 73-89. https://doi.org/10.1145/245108.245125
  8. Resnick, P., N. Iacovou, M. Suchak, P. Bergstrom and J. Riedl, "Grouplens : An Open Architecture for Collaborative Filtering of Netnews," Proceedings of the ACM Conference on Computer Supported Cooperative Work, 1994, pp. 175-186.
  9. Kostan, J., Miller, B., Maltz, D., Herlocker, J., Gordon, L., and Riedl, J., "GroupLens: Applying Collaborative Filtering to Usnet News," Communications of the ACM, 1997, pp. 77-87.
  10. Hill, W., L. Stead, M. Rosenstein, and G. Furnas, "Recommending and Evaluating Choices in a Virtual Community of Use," Proceedings of Conference Human Factors in Computing Systems, 1995, pp. 194-201.
  11. Terveen, L., W. Hill, B. Amento, D. McDonald, and J. Creter, "PHOAKS : A System for Sharing Recommendations," Communications of the ACM, Vol. 40, No. 3, 1997, pp. 59-62. https://doi.org/10.1145/245108.245122
  12. http://www.last.fm
  13. Linden, G., Smith, B., and York, J., "Amazon. com recommendations," IEEE Internet Computing Vol. 7, No. 1, 2003, pp. 76-80. https://doi.org/10.1109/MIC.2003.1167344
  14. http://www.amazon.com
  15. Sungrim Kim, Joonhee Kwon, "Folksonomy-Based Information Retrieval in Context-aware Environment," International Journal of Computer Science and Network Security, Vol. 8, No. 11, 2008, pp. 252-257.

피인용 문헌

  1. 속성유사도에 따른 사회연결망 서브그룹의 군집유효성 vol.17, pp.1, 2010, https://doi.org/10.17662/ksdim.2021.17.1.075