• Title/Summary/Keyword: 인터넷 쇼핑몰 사용성

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Quality Characteristics and Microbial Hazard Analysis of Commercial Garlic (시중 판매되는 다진 마늘의 미생물학적 위해성 및 품질평가)

  • Oh, Se-In;Kim, Ok-Sun;Sung, Jung-Min
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.42 no.5
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    • pp.800-807
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    • 2013
  • This study investigated the quality characteristics and microbial hazards of commercial garlic available in supermarkets, traditional markets, and online shopping malls. Total bacterial counts were 2.55 log CFU/g in whole garlic and 5.20~7.40 log CFU/g in processed garlic, possibly due to contamination during processing. The total bacterial count from garlic purchased in supermarkets was below 5 log CFU/g, while garlic purchased in traditional markets and online shopping malls had counts of 3.87~6.34 and 3.73~6.11 log CFU/g, respectively. Thus garlic purchased at supermarkets appears to be more hygienic than garlic from traditional markets or online shopping malls. Some garlic purchased from supermarkets also had a lower pH (4.96~5.17) compared to fresh chopped garlic (7.4~7.5), likely due to the addition of citric acid and ascorbic acid, to reduce microbes and prevent browning. The moisture content of chopped garlic was 61.92~89.32%, with moisture content in imported garlic from China above 75%. The L, a, and b color values were 52.63~64.47, -3.74~8.75, and 10.67~17.88, respectively. The a and b values of supermarket garlic (-3.74~-3.20 and 10.67~13.90) were lower due to the addition of citric acid.

Product Recommendation System on VLDB using k-means Clustering and Sequential Pattern Technique (k-means 클러스터링과 순차 패턴 기법을 이용한 VLDB 기반의 상품 추천시스템)

  • Shim, Jang-Sup;Woo, Seon-Mi;Lee, Dong-Ha;Kim, Yong-Sung;Chung, Soon-Key
    • The KIPS Transactions:PartD
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    • v.13D no.7 s.110
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    • pp.1027-1038
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    • 2006
  • There are many technical problems in the recommendation system based on very large database(VLDB). So, it is necessary to study the recommendation system' structure and the data-mining technique suitable for the large scale Internet shopping mail. Thus we design and implement the product recommendation system using k-means clustering algorithm and sequential pattern technique which can be used in large scale Internet shopping mall. This paper processes user information by batch processing, defines the various categories by hierarchical structure, and uses a sequential pattern mining technique for the search engine. For predictive modeling and experiment, we use the real data(user's interest and preference of given category) extracted from log file of the major Internet shopping mall in Korea during 30 days. And we define PRP(Predictive Recommend Precision), PRR(Predictive Recommend Recall), and PF1(Predictive Factor One-measure) for evaluation. In the result of experiments, the best recommendation time and the best learning time of our system are much as O(N) and the values of measures are very excellent.

Factor Analytic Classification of Design Attributes of Shopping-Mall Sites under the View of Usability (인터넷 쇼핑몰 사이트 설계 속성들의 사용성 관점에서의 요인분석적 분류)

  • 고석하;김주성;경원현
    • Journal of Information Technology Applications and Management
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    • v.10 no.4
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    • pp.29-50
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    • 2003
  • This research provide the basic information to enhance the user-orientedness of usability design guidelines for software products and an effective empirical guidance to classify design attributes of internet shopping mall sites. The results of analysis show that design attributes can be classified into the procedural attribute group, the shopping tool attribute group, the visual attribute group, linguistic attribute group, and others. The results show that shopping tool attribute group can be divided further into the search tool attribute group and purchase tool attribute group and that the visual attribute group can be divided further into the screen condition attribute group and the character legibility attribute group. The research reveals that when designers design software interfaces and features they should take the compound effect of a group of design attributes into consideration to enhance the usability of the system.

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Design and Implementation of XML/EDI Systems for the E-Commerce (전자상거래를 위한 XML/EDI 시스템 설계 및 구현)

  • An, Gyoung-Hee;Oh, Soo-Young;Woo, Jong-Jung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2001.04b
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    • pp.759-762
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    • 2001
  • 인터넷과 웹의 발전은 쇼핑몰 형태의 B2C(Business to Customer) 전자상거래를 비롯하여 기업간의 거래에도 많은 변화를 가져오게 되었다. B2B(Business to Business) 전자상거래는 기업간의 거래를 위하여 이기종간의 데이터 교환은 물론, 다양한 응용 어플리케이션과의 연동이 필수적이다. 기업간 거래에 있어서 가장 기본이 되는 EDI는 그 동안 EDIFACT, X.12와 같은 표준을 이용하여 이루어져 왔지만, 확장성과 유연성이 떨어지고 개발 및 유지, 보수에 많은 비용을 요구하기 때문에 일반 중 소기업들까지 사용하기에는 어려움이 많았다. 반면에, 인터넷과 웹이라는 누구나 쉽게 이용할 수 있는 수단과 XML 기술이 등장하면서 이를 EDI에 적용하여 확장성과 유연성을 높이고, 저렴한 비용으로 EDI 시스템을 효과적으로 구축할 수 있게 되었다. 본 논문에서는 한국전력에서 사용하는 전기신규접수 XML/EDI 시스템 개발 경험을 바탕으로 XML을 이용한 EDI 문서 설계와 XSL을 이용한 문서 처리 기술, 레거시(legacy) 시스템과의 연동, 보안 및 인증 기술의 적용 등을 바탕으로 XML/EDI 시스템의 설계 및 구현에 대하여 논하고자 한다.

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Factors Influencing Internet Consumer's Purchase Delay Behaviors : Focusing on Situational Factors and Perceived Uncertainty (인터넷 소비자의 구매지연행동에 영향을 미치는 요인 : 상황적 요인과 지각된 불확실성을 중심으로)

  • Kim, Jong-Ouk;Suh, Sang-Hyuk
    • The Journal of the Korea Contents Association
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    • v.14 no.7
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    • pp.407-426
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    • 2014
  • This study analyzed the effects of situational factors and perceived uncertainty on purchase delay behaviors of internet consumers. The survey was conducted from internet consumers in the Seoul Metropolitan areas, and 394 responses were used in the data analysis. The results of this study were as follows. First, the negative experience and avoid regrets of the situational factors had a positive impact on overall purchase delay. The time pressure, changeability about purchase, negative experience and avoid regrets had a positive impact on payment stage delay. Also, the time pressure, negative experience and avoid regrets had a positive impact on shopping cart abandonment. Second, all factors of perceived uncertainty had a positive impact on overall purchase delay and payment stage delay. In addition, the information uncertainty and psychological uncertainty had a positive impact on shopping cart abandonment. Therefore, this study is contributing to the diversification of internet study, and it is provide useful information on the customer management and marketing strategy of internet shopping malls.

Design of XML-Schema for Content-based Image Retrieval (내용 기반 이미지 검색을 위한 XML-Schema설계)

  • 홍성용;나연묵
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.10c
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    • pp.172-174
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    • 2002
  • 최근 인터넷상의 상품 쇼핑몰사이트나 전자상거래와 같은 웹 사이트의 발전으로 인해 이미지의 정보를 많이 사용하고 있다. 이미지의 활용도가 높아짐에 따라, 이미지에 대한 분석기술이나 인식기술들이 많이 연구되어지고 있다. 이미지의 활용은 단순히 정보를 표현하는 것을 넘어, 현재는 인체의 생체 이미지, 지리정보 이미지, 상품 카탈로그 이미지와 같은 대량의 이미지 정보를 가지고 웹 상에서 응용하여 활용되어지고 있다. 따라서, 다양한 이미지의 정보를 표현하고 저장, 검색하는 기술은 계속적으로 연구되어지고 있다. 그러나, 다양한 이미지의 형태로부터 데이터를 표현하고 검색한다는 것은 상당히 어려운 일이다. 본 논문에서는 On.-Schema를 활용하여 다양한 이미지의 내용정보를 표현하기 위한 스키마 구조와 표준화 방안에 대하여 기술한다. 웹 상품 카탈로그 이미지나 광고 이미지와 같은 인터넷 상에서 많이 사용될 수 있는 이미지의 정보를 XML-Schema로 설계하고 XML을 활용하여 내용기반 이미지 검색을 지원할 수 있는 모델을 제시한다. 또한 이미지에 대한 복합적인 객체를 분리하여 저장할 수 있는 스키마를 제공함으로서, 이미지 데이터의 공유성과 유용성이 높아지고, 검색에 대한 효율성이 증대되도록 한다.

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One-Time Virtual Card Number Generation & Transaction Protocol using Integrated Authentication Center (통합인증센터를 활용한 일회용 가상카드번호 생성 및 결제서비스 프로토콜)

  • Seo, Seung-Hyun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.20 no.3
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    • pp.9-21
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    • 2010
  • Recently, famous online shopping websites were hit by hacking attack, and many users' personal information such as ID, password, account number, personal number, credit card number etc. were compromised. Hackers are continuing to attack online shopping websites, and the number of victims of these hacking is increasing. Especially, the exposure of credit card numbers is dangerous, because hackers maliciously use disclosed card numbers to gain money. In 2007 Financial Cryptography Conference, Ian Molly et al. firstly proposed dynamic card number generator, but it doesn't meet reuse resistant. In this paper, we analyzed security weaknesses of Ian Molly's scheme, and we proposed a new one-time virtual card number generator using a mobile device which meets security requirements of one-time virtual card numbers. Then, we propose one-time credit card number generation and transaction protocol using Integrated Authentication Center for user convenience and security enhancement.

Individual Characteristics Affecting User's Intention to Use Internet Shopping Mall (개인 특성이 인터넷 쇼핑몰 사용의도에 미치는 영향)

  • Suh, Chang-Kyo;Seong, Seok-Ju
    • Asia pacific journal of information systems
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    • v.14 no.3
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    • pp.1-22
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    • 2004
  • Technology acceptance model(TAM) has been widely used to predict the end-user's acceptance of a new IT/IS. We used TAM as a theoretical foundation to explain user's intention to use an Internet shopping mall. The theoretical model is tested with the questionnaires from 308 users of an Internet shopping mall. Results show that several individual characteristics such as Internet skills and self-efficacy have a significant impact on user's perception of usefulness and ease of use. Results also show that both perceived enjoyment and perceived usefulness of Internet shopping mall strongly predict intention to use the Internet shopping mall. However, perceived ease of use has no direct influence on intention to use the Internet shopping mall. Personal innovativeness and Internet skills also have a positive effect on perceived enjoyment. Therefore, Internet shopping mall managers have to consider intrinsic motivational factor(enjoyment) as well as extrinsic motivational factor(usefulness). In addition, individual characteristics should be emphasized to form the positive beliefs about using the Internet shopping mall.

Design of a Preprocessor for Web Log Analysis (웹 로그 분석을 위한 전처리기의 설계)

  • Kim, Geon-Lyang;Lee, Do-Heon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2000.10a
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    • pp.47-50
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    • 2000
  • 최근 들어 인터넷 쇼핑몰의 활성화로 인한 고객의 행동 패턴 분석의 필요성이 증가하고 있다. 본 논문에서는 고객의 행동 패턴 분석 방법 중의 하나로 데이터마이닝 기법을 이용한 웹 로그 분석을 소개한다. 웹 로그에는 고객의 접근 시간, 접근한 웹 페이지, 접근 시 사용한 브라우저 등 많은 정보가 포함되어 있는데, 마이닝 기법을 적용하기 위해서는 우리에게 필요한 정보만을 추출하고 적용하기 편리한 형태로 변환해야 한다. 본 논문에서는 마이닝 기법을 적용하기 위해 필요한 정보를 추출하고 적절한 형태로 변환하는 작업을 수행하는 전처리기의 설계를 제안한다. 본 논문에서 제안하는 전처리기로 구축된 트랜잭션을 통하여 원하는 항목과 범위에 대해서 연관 규칙을 얻을 수 있다.

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A Study on Market Segmentation Based on E-Commerce User Reviews Using Clustering Algorithm (클러스터링 기법을 활용한 이커머스 사용자 리뷰에 따른 시장세분화 연구)

  • Kim, Mingyeong;Huh, Jaeseok;Sa, Aejin;Jun, Ahreum;Lee, Hanbyeol
    • The Journal of Society for e-Business Studies
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    • v.27 no.2
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    • pp.21-36
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    • 2022
  • Recently, as COVID-19 has made the e-commerce market expand widely, customers who have different consumption patterns appear in the market. Because companies can obtain opinions and information of customers from reviews, they increasingly face the requirements of managing customer reviews on online platform. In this study, we analyze customers and carry out market segmentation for classifying and defining type of customers in e-commerce. Specifically, K-means clustering was conducted on customer review data collected from Wemakeprice online shopping platform, which leads to the result that six clusters were derived. Finally, we define the characteristics of each cluster and propose a customer management plan. This paper is possible to be used as materials which identify types of customers and it can reduce the cost of customer management and make a profit for online platforms.