한국섬유공학회지 (Textile Science and Engineering)

  • 제42권2호
  • /
  • Pages.118-128
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  • 2005
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  • 1225-1089(pISSN)
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  • 2288-6419(eISSN)
한국섬유공학회 (The Korean Fiber Society)
권호 표지

서버-클라이언트 기반의 협력적 필터링 개인화 기법을 이용한 감성 패션 디자인 시스템 개발

Developing Sensibility Fashion Design System Using Collaborative Filtering Personalization Technique Based on Server-Client Interaction

  • 정경용 (인하대학교 컴퓨터정보공학과) ;
  • 나영주 (인하대학교 의류디자인학과)
  • Jung, Kyongyong (Department of Computer Science & Information Engineering, Inha University) ;
  • Na, Youngjoo (Department of Clothing and Textiles, Inha University)
  • 발행 : 2005.04.01
⟨ 이전 논문 다음 논문 ⟩

초록

In order to develop fashion products of sensibility and high quality, we propose the fashion design recommendation system (FDRAS), a design expert system. We programed the co-operative filter personal techniques, using collaborative filtering to search the textile and fashion design database, and this was an effective tool providing a fashion design fitted to customer's need. A user-interface tool is developed to recommend fashion designs according to the user's need, and enhance the efficiency in user interface. We selected 41 fashion design drawings from a picture dictionary to prepare the questionnaire: 15 collar types, 8 sleeve types, 10 skirt types and 3 lengths, and 5 color tones, and performed a survey for establishing the database. 889 subjects participated in this survey. Developing this recommendation system, database of the designs and the related sensibility, and transformation algorithm was established. The visualization of the results of recommended designs to a consumer is presented in 2D and 2.5D graphics. The performance of FDRAS is tested according to three algorithms in terms of mean absolute error (MAE).

키워드

참고문헌

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