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온라인 의류 쇼핑을 위한 맞춤형 치수 추천 시스템: 협업 필터링 접근법
이동원 한국컴퓨터정보학회 2023 韓國컴퓨터情報學會論文誌 Vol.28 No.8
This study was conducted to provide a solution to the problem of sizing errors occurring in online purchases due to discrepancies and non-standardization in clothing sizes. This paper discusses an implementation approach for a machine learning-based recommender system capable of providing personalized sizes to online consumers. We trained multiple validated collaborative filtering algorithms including Non-Negative Matrix Factorization (NMF), Singular Value Decomposition (SVD), k-Nearest Neighbors (KNN), and Co-Clustering using purchasing data derived from online commerce and compared their performance. As a result of the study, we were able to confirm that the NMF algorithm showed superior performance compared to other algorithms. Despite the characteristic of purchase data that includes multiple buyers using the same account, the proposed model demonstrated sufficient accuracy. The findings of this study are expected to contribute to reducing the return rate due to sizing errors and improving the customer experience on e-commerce platforms.
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온라인 구매환경에서 티셔츠 호칭 선택에 영향을 미치는 신체특성 분석 -20대 여성을 중심으로-
강여선 ( Yeo Sun Kang ) 한국의류학회 2021 한국의류학회지 Vol.45 No.1
This study provides basic information for the convenient size selection of T-shirts in an online purchasing environment. The best preferred T-shirts fit was selected among five sizes of T-shirts according to body size group. The subjects were 103 students majoring in clothing. After setting a virtual model with her own body sizes, the subjects chose the best preferred fit among five sizes of T-shirts that included the one suitable to their bust circumference, two smaller T-shirts and two larger T-shirts. As a result, they preferred the fit of larger size T-shirts than body size, but they preferred a different fit by the body characteristic group such as waist height group and hip circumference group. T-shirt length was affected by waist height; in addition, shoulder ease was affected by hip circumference and bust circumference. Therefore waist height and hip circumference should be considerable sizes when consumers choose T-shirts sizes with a preferred fit.
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