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Volumn 2736, Issue , 2003, Pages 631-640

FDRAS: Fashion design recommender agent system using the extraction of representative sensibility and the two-way combined filtering on textile

Author keywords

[No Author keywords available]

Indexed keywords

DESIGN; SALES; TEXTILE INDUSTRY; TEXTILES;

EID: 21144438848     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45227-0_62     Document Type: Article
Times cited : (6)

References (8)
  • 3
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    • An Algorithm Framework for Performing Collaborative Filtering
    • J. Herlocker, et al., " An Algorithm Framework for Performing Collaborative Filtering," In Proc. of ACM SIGIR'99, 1999.
    • (1999) Proc. of ACM SIGIR'99
    • Herlocker, J.1
  • 4
    • 0032276564 scopus 로고    scopus 로고
    • Using filtering agents to improve prediction quality in the grouplens research collaborative filtering system
    • Badrul M. Sarwar, Joseph A. Konstan, Al Bochers, Jon Herlocker, Bral Miller, and John Riedl, "Using filtering agents to improve prediction quality in the grouplens research collaborative filtering system," In Proc. of ACM CSCW'98, 1998.
    • (1998) Proc. of ACM CSCW'98
    • Sarwar, B.M.1    Konstan, J.A.2    Bochers, A.3    Herlocker, J.4    Miller, B.5    Riedl, J.6
  • 5
    • 33751051211 scopus 로고    scopus 로고
    • A New Collaborative Filtering Method using Representative Attributes-Neighborhood and Bayesian Estimated Value
    • USA
    • K. Y. Jung, J. K. Ryu, and J. H. Lee, "A New Collaborative Filtering Method using Representative Attributes-Neighborhood and Bayesian Estimated Value," Proc. of ICAI'02, USA, pp. 709-715, 2002.
    • (2002) Proc. of ICAI'02 , pp. 709-715
    • Jung, K.Y.1    Ryu, J.K.2    Lee, J.H.3
  • 6
    • 84943258224 scopus 로고    scopus 로고
    • Prediction of User Preference in Recommendation System using Association User Clustering and Bayesian Estimated Value
    • 15th Australian Joint Conference on Artificial Intelligence
    • K. Y. Jung, J. H. Lee, "Prediction of User Preference in Recommendation System using Association User Clustering and Bayesian Estimated Value," LNAI 2557, 15th Australian Joint Conference on Artificial Intelligence, pp. 284-296, 2002.
    • (2002) LNAI , vol.2557 , pp. 284-296
    • Jung, K.Y.1    Lee, J.H.2
  • 7
    • 0033325071 scopus 로고    scopus 로고
    • A Framework for Collaborative, Content-Based and Demographic Filtering
    • M. Pazzani, "A Framework for Collaborative, Content-Based and Demographic Filtering," AI Review, pp. 393-408, 1999.
    • (1999) AI Review , pp. 393-408
    • Pazzani, M.1
  • 8
    • 85030174634 scopus 로고
    • GroupLens: An Open Architecture for Collaborative Filtering of Netnews
    • P. Resnick, et. al., "GroupLens: An Open Architecture for Collaborative Filtering of Netnews," Proc. of ACM CSCW'94, pp. 175-186, 1994.
    • (1994) Proc. of ACM CSCW'94 , pp. 175-186
    • Resnick, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.