• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.432-434
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• 2022

우리는 전이 학습을 이용하여 원하는 특정 패션 스타일 분류기를 학습하였다. 패션 스타일 검색 결과물을 온라인 쇼핑몰과 연결하는 웹 서비스를 사용자에게 제공한다. 패션 스타일 분류기는 구글에서 이미지 검색을 통해 수집된 데이터를 이용하여 ResNet34[1]에 전이 학습하였다. 학습된 분류 모델을 이용하여 사용자 이미지로부터 패션 스타일을 17가지 클래스로 분류하였고 F1 스코어는 평균 65.5%를 얻었다. 패션 스타일 분류 결과를 네이버 쇼핑몰과 연결하여 사용자가 원하는 패션 상품을 구매할 수 있는 서비스를 제공한다.

• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.481-494
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• 2015

The objective of this study is to verify the correlations among design quality of domestic internet fashion shopping mall and relations to specific shopping malls, and shopping mall users' intention to continue the relations. The main results were withdrawn as follows. First, it was found that some factors of internet fashion shopping mall design quality had significant positive influences on the qualities of relationship to users such as reliability, satisfaction and devotion. Second, it was found that all components of quality of customer relationship to internet fashion shopping mall such as reliability, satisfaction and devotion had significant positive influence on their intention to continue relations to the internet shopping mall. Third, graphic and multimedia quality of internet fashion shopping mall design components had significant positive influences on internet fashion shopping mall users' intention to continue relationship to the shopping mall. Empirical study of qualities on the relationship between internet fashion shopping mall design quality and its users, their intention to repurchase or recommend goods from the mall would be very valuable in a management point of view of small internet fashion shopping mall.

• Proceedings of the Costume Culture Conference
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• 2004.04a
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• pp.95-96
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• 2004

본 연구의 조사 대상은 C2C전자상거래 경험이 있는 남ㆍ여 대학생만을 대상으로 총 194부를 설문 조사하였다. 설문지 구성은 C2C 전자상거래 인터넷 쇼핑몰 경험에 관한 문항(4), C2C 전자상거래 인터넷 쇼핑몰에서의 패션제품 구매경험에 관한 문항(6), 류영선(2002)의 연구를 토대로 C2C전자상거래의 특성요인에 관한 문항(13)을 구성하였다. 또한 고객 만족도 측정을 위해 보편적으로 많이 사용해온 Parasuraman et at.(1988)의 Servquai 서비스 요인의 5가지 요인들을 포함시켰다. (중략)

• Journal of Korea Multimedia Society
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• v.16 no.6
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• pp.708-719
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• 2013

Purchase of clothes has recently picked up pace at mobile fashion shopping malls. One of the biggest weak points is that consumers can't coordinate clothes. Since individuals increasingly want to make coordination, a fashion coordination system to satisfy the demand should be developed. As the technology of digital clothing which is about reproducing dresses using computer graphic has been activated in the fashion industry, many changes in consumers' life patterns and interests in fashion shopping malls are taking place. Some consumers are increasingly more keenly interested in shopping on the Internet and Smart phones than in offline stores. This study was conducted to understand production of iPhone-based augmented reality fashion fitting contents which is suitable for Koreans' body shape. This system is about designing and materializing UI(User Interface), an augmented reality fitting system, so that users can confirm if they look nice with those fashion items using Smart phones. A new fashion shopping method satisfying user convenience was suggested using the materialized system.

• Journal of the Korean Home Economics Association
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• v.40 no.1
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• pp.135-146
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• 2002

The Purpose of this study was to identify the sensibility elements and the evaluative dimensions of internet fashion shopping mall to supply optimal experience to the customer. First, association words for internet fashion shopping mall by open-ended method and sensibility-expression-adjective feeling as navigating personally 57 shopping mall dealing with fashion products were collected. Collected adjectives were ranked after making index by frequency and diversity. Then, correlation analysis was executed to extract independent adjective and their opposite words. Semantic differential scale was made for internet-fashion-shopping-mall-evaluation. After preliminary investigation with this scale, factor analysis was implemented. 12 sensibility evaluation words were extracted. Then, 200 subjects evaluated satisfaction degree for 8 selected shopping mall. To explain the hierarchy of internet fashion shopping mall, cluster analysis was applied. The understanding of sensibility element and evaluative dimensions of internet fashion shopping mall can be utilized efficiently as basic materials when marketer plans internet shopping mall design and makes marketing strategy.

• Journal of Korea Multimedia Society
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• v.13 no.9
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• pp.1348-1356
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• 2010

With the advancement of information and communication technology, the market of Internet-based fashion/coordination shopping malls have been considerably increasing year by year. As the number of these Internet shopping malls increases, the operators of the malls tend to decorate the first page of their websites with a variety of events and samples of the best-fit upper-lower clothing pairs. They try to provide visitors of their web sites with products that can induce fresh impression by modifying the first page on a daily or a few days basis. If pairs of best-fit upper-lower clothes for various products available in online shopping malls can be calculated and marked, it would help not only to make the first page of the malls more appealing but also to enable users to purchase linked products in a more convenient way, replacing the recommendations usually made by offline clerks. In the paper, we present the results of designing and implementing an upper-lower clothes matching system in which expert coordinators register matching-value of upper and lower clothes in the form of attribute-value matrix.

• Fashion & Textile Research Journal
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• v.18 no.2
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• pp.158-166
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• 2016

This study investigates the impact of fashion product attributes and mobile shopping mall attributes on impulse buying behavior and mobile shopping satisfaction. The findings provide new information to marketers on marketing strategy for mobile shopping malls. We obtained 283 usable questionnaires from college students. Data were analyzed by frequency analysis, correlation analysis, factor analysis using SPSS for Window 21.0 and confirmatory factor analysis and structural equation model analysis by AMOS 21.0. The results were as follows. The utility of fashion products attributes had the greatest impact on impulse buying behavior when buying fashion products in a mobile mall. Utility had a negative effect on impulsive buying behavior and exhibitionistic had a positive effect on impulsive buying behavior. Next, continuous management of mobile shopping mall attributes influenced impulse buying behavior. In addition, impulse buying behavior showed that the positive effect on satisfaction. Fashion product attributes had a greater impact on impulsive buying behavior than mobile mall properties when buying fashion products in the mobile mall; in addition, impulse buying facilitated customer satisfaction.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.05a
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• pp.286-292
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• 2001

본 연구의 목적은 컴퓨터 그래픽과 웹 애니매이션 프로그램을 이용하여 효과적인 패션 켜디 시스템을 개발하는데 있다. 오늘날 인터넷 패션 쇼핑몰은 마케팅의 한 수단으로서 커다란 주목을 받고 있다. 많은 옷들이 인터넷 쇼핑몰을 통하여 판매되고 있으며 더불어 매장의 디스플레이 역할을 담당하는 웹 사이트 디자인에 대한 관심도도 매우 높아지고 있다. 이러한 이유로 본 연구는 컴퓨터 그래픽 소프트웨어인 어도비사의 포토샵과 마크로 미디어사의 플래시 애니매이션을 이용하여 패션 코디 아이템을 제작하고 보다 시각적이고 효과적인 웹 이미지를 구축하려고 한다. 그 결과는 다음과 같다. 첫째, 매해 유행하는 의상의 데이터 베이스를 축적할 수 있으며 둘째, 디자인에 드는 많은 시간과 비용을 절감할 수 있고 또한 보다 쉽게 창작물의 변형과 제작이 가능하다. 셋째, 다양한 이미지 변형 기능으로 새로운 텍스타일의 개발이 용이하다. 넷째, 애니매이션과 동영상등의 멀티미디어 효과로 보다 시각적이고 흥미로운 이미지를 구축할 수 있다. 다섯째, 고객과의 보다 인터렉티브한 커뮤니케이션이 가능하다.

• Proceedings of the SOHE Conference
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• 2004.12a
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• pp.71-71
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• 2004

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1866-1877
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• 2008

The purposes of this study were to identify the dimensions of perceived dissatisfaction, complaining behavior, and long-term orientation of customers about the Internet fashion shopping mall, and to empirically examine the effects of each dimension of perceived dissatisfaction and complaining behavior on long-term orientation. For this study, questionnaires were administered to 275 Internet shopping mall customer. To analyze collected data, descriptive analysis, factor analysis, Cronbach's $\alpha$, correlation analysis, and regression analysis were used. Major findings were as follows. First, college students were found to mainly complain of dissatisfaction at product quality, refunding/changing/maintenance repair, price, contract, delivery, and payment after transaction with the Internet shopping mall. Second, customer dissatisfaction was found to have high correlation with complaining behavior and partly with customer neglect or exit. Third, higher customer dissatisfaction was found to increase customer complaining behavior in general. Finally, higher complaining behavior was found to have connection with lower customer loyalty and higher customer neglect and exit.