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Volumn 95, Issue 1-6, 2004, Pages 207-216

Developing a textile design recommendation system according to consumers' sensibilities

Author keywords

Collaborative filtering; Fashion design; Recommendation system; Sensibility engineering; Textile

Indexed keywords

COMPUTER SUPPORTED COOPERATIVE WORK; PRODUCT DESIGN; REQUIREMENTS ENGINEERING; TEXTILE INDUSTRY;

EID: 33751055973     PISSN: 00405000     EISSN: None     Source Type: Journal    
DOI: 10.1533/joti.2003.0016     Document Type: Article
Times cited : (10)

References (16)
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  • 4
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    • Combining collaborative filtering with personal agents for better recommendation
    • Good, N., Schafer, B., Konstan, J., Borchers, A., Sarwar, B., and Riedl, J., 1999. Combining Collaborative Filtering with Personal Agents for Better Recommendation, AAAI/IAAI. Grouplens, http://www.grouplens.org
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  • 7
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    • A new collaborative filtering method using representative attributes-neighborhood and bayesian estimated value
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    • Jung, K., Ryu, J., and Lee, J., 2002. A New Collaborative Filtering Method using Representative Attributes-Neighborhood and Bayesian Estimated Value, Proc. of ICAI'02, USA, June.
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    • Jung, K.1    Ryu, J.2    Lee, J.3
  • 10
    • 33751035804 scopus 로고    scopus 로고
    • Case study on sensibility science in the field of textile design
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  • 13
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    • Characteristics of domestic textile designs and trend sensibility for women's apparel
    • Na, Y. and Kwan, O., 2000. Characteristics of Domestic Textile Designs and Trend Sensibility for Women's Apparel, J. Kor. Soc. Ind., 2 (3), 198-204.
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    • A framework for collaborative, content-based and demographic filtering
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.