• Proceedings of the Korea Information Processing Society Conference
• /
• 2004.05a
• /
• pp.557-560
• /
• 2004

추천 시스템에서부터 1:1 마케팅에 이르는 전자 상거래의 다양한 응용 영역에서, 개별 사용자로부터 개인화된 사용자 프로파일을 구축하는 것은 매우 중요하다. 이러한 프로파일들은 사용자들의 구매 행위와 같은 개인별 행동들을 설명해주며, 특히 다양한 데이터 마이닝(Data Mining) 기술들을 이용해 사용자의 거래 기록으로부터 학습된 규칙들을 발견해낼 수 있다. 발견된 규칙들 중에는 거짓이거나 연관 없거나 또는 하찮은 것들도 존재하기 때문에, 가장 중요한 문제 가운데 하나는 발견된 규칙들을 처리후-분석을 어떻게 수행하느냐이다. 예를 들어, 발견된 규칙을 사용자 프로파일에 적합한 것인지를 확인할 때 좋은 규칙과 나쁜 규칙을 어떻게 판명하는가 하는 문제이다. 이 논문에서는 규칙을 확인하는 과정에서 객관적 척도를 이용하는 방법을 제안하였다.

• The Journal of Society for e-Business Studies
• /
• v.17 no.1
• /
• pp.39-52
• /
• 2012

The introduction of iPhone was an opportunity to increase of internal smarphone users in 2009 and it exceeded 15 millions at August, 2011. According to report about usage of smartphone users, elderly people aged over 60 was quite low compared to other groups. Moreover these elderly peoples feel lag behind cause of smartphone non-use. Thus, the aim of this research is to improve usability of smartphone for elderly peoples. The performance evaluation program and questionnaire were developed for this purpose and objective data and subjective data were collected through these. 22 elderly peoples participated in our research and we could derived proper level of target. The results of this research will be applied to smartphone or application for elderly. The meaning of this research is reveal the detailed touch target for elderly based on smartphone environment.

• The Journal of Society for e-Business Studies
• /
• v.14 no.2
• /
• pp.117-130
• /
• 2009

Lots of applications that represent and utilize geographic information on the Web have emerged on the Web. In addition, personal electronic devices equipped with GPS function, which can record personal location information in real time, are being increasingly adopted by people. Such geographic information enables Internet business companies to provide users more useful services based on the location information. Most successful Internet business companies have adopted and utilized Web 2.0 technologies, which promote users' participation and emphasize openness and information sharing. Especially, using open APIs (Application Programming Interfaces) can reduce the costs of a program development. In this study, we design and develop a banner advertisement system based on geographic information using open APIs. We propose a business model using the advertisement system, and a prototype system has been illustrated in order to explain the proposed business model. Finally, we summarize the benefits of our system by describing factors generating values of the proposed business model. Hopefully, main ideas proposed in this paper can be applied to real industry sectors that use geographic information widely such as travel, real estate and so on.

• The Journal of Society for e-Business Studies
• /
• v.19 no.4
• /
• pp.21-30
• /
• 2014

Personalized data of users at social network service can be used as a new resource for providing personalized nutrition information. Although providing personalized information for nutrition using social data, there are a few studies on providing personalized nutrition information with customized user preference based on social network service. The purpose of this study is to implement the clustering of data analysis with collected personal data of Facebook users. To find out the method for providing personalized information, this study described an effective method for providing nutrition information by analyzing web posting on Facebook that can be called a typical social network service. According to the result from clustering, sodium and sugars were important variables from diet of user. Furthermore, the importance of elements of user's diet has some differences according to vendor/manufactures.

• The Journal of Society for e-Business Studies
• /
• v.23 no.4
• /
• pp.41-62
• /
• 2018

Despite the rapid growth of the mobile shopping market, major market participants are continuing to suffer operating losses due to severe competition. To solve this problem, the mobile shopping market requires research to improve customer satisfaction and customer loyalty rather than excessive competition. However, the existing studies have limits to reflect the direct needs of customers because they extract the factors on the basis of the Technology Acceptance Model and the literature study. In this study, to reflect the direct requirements of users of mobile shopping Apps, we derived concretely and various factors influencing customer satisfaction through a topic analysis using user reviews. And then we assessed the importance of derived factors to customer satisfaction and analyzed the effects of customer satisfaction on customer complaints and customer loyalty on a structural equation model based on the American customer satisfaction index. We expect that our framework linking a topic analysis and a structural equation model is to be applicable to studies on the customer satisfaction of other mobile services.

• The Journal of Society for e-Business Studies
• /
• v.26 no.1
• /
• pp.29-41
• /
• 2021

Recently, there are increasing attempts to utilize deep learning methodology in the fashion industry. Accordingly, research dealing with various fashion-related problems have been proposed, and superior performances have been achieved. However, the studies for fashion style classification have not reflected the characteristics of the fashion style that one outfit can include multiple styles simultaneously. Therefore, we aim to solve the multi-label classification problem by utilizing the dependencies between the styles. A multi-label recognition model based on a graph convolution network is applied to detect and explore fashion styles' dependencies. Furthermore, we accelerate model training and improve the model's performance through transfer learning. The proposed model was verified by a dataset collected from social network services and outperformed baselines.

• International Commerce and Information Review
• /
• v.12 no.2
• /
• pp.85-107
• /
• 2010

A comprehensive electronic trade portal such as the electronic bills of lading, e-negotiations and so on, is developed by the Korea Ministry of Knowledge Economy and International Trade Association and serviced by KTNET. The portal, so called u-TradeHub, formally started to provide its services on 22nd May, 2009. If the shipper issues electronic bills of lading, the negotiating bank examines it through the established e-Nego system. However, the issuing bank overseas cannot examine the electronic bills of lading, because any interactive system does not exist. So, after the e-Nego, the electronic bills of lading gets automatically transformed into the paper-type electronic bills of lading and issuing bank examine paper B/L. In process of examining documents, the beneficiary using electronic means in letter of credit transactions may face some risks such as the corruption to the electronic bill of lading after its issuance by the carrier, the corruption after e-Nego and the corruption after the presentation to the issuing bank. In this paper, we studied the problems on corruptions to occur in the middle of the examination process of the electronic bills of lading and suggestions how to solve them are discussed.

• International Commerce and Information Review
• /
• v.9 no.3
• /
• pp.287-304
• /
• 2007

Determination of the time and place of dispatch and receipt of electronic messages is an important element of the operation of many rules of law, particularly the timing of formation of the contract. In this paper, I reviewed interpretation and application of time and place of dispatch and receipt of electronic records in electronic transactions under the UNCITRAL(United Nations Commission on International Trade Law) Model Law on Electronic Commerce, USA Uniform Electronic Transactions Act and Korea Electronic Transactions Act. Time of dispatch and time of receipt are effective when received. The sender has the burden to prove that the electronic record is sent successfully to the information process system of the recipient. Therefore, to safety electronic transactions, the sender needs to request a confirm notice for receipt to the recipient when the electronic record is sent like the provisions of UNCITRAL Model Law on Electronic Commerce and Korea Electronic Transactions Act. By requesting the above, the sender is able to take precautionary measures for damage according to the failure of dispatch and receipt of the electronic records.

• The Journal of Society for e-Business Studies
• /
• v.22 no.1
• /
• pp.51-64
• /
• 2017

After Bitcoin was proposed by Satoshi Nakamoto in 2009, studies have been carried out to apply the Block Chain technology in various environment, which was applied as a distributed transaction of Bitcoin. Smart contracts, voting and proof of ownership of digital contents are typical applications of Block Chain. They used the feature that it is impossible to modify or delete once recorded facts. They also applied to prove relevant facts and to provide data integrity. The applied cases are mainly made in an environment where the data should or could be open to the public, and they have been proposed as solutions to solve the problems occurred in relations. This fact has led to the attention that Block Chain can be applied as a good alternative in similar circumstances. In this study, real estate market service was selected to expand the application range of Block Chain. Although there are about 250 applications and web services in total, the satisfaction is not high due to false offerings. Thus we propose a countermeasure against the problem by applying the Block Chain to the real estate market service, and investigate the research direction of the Block Chain in the future market.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2006.05a
• /
• pp.367-370
• /
• 2006

인터넷 경매란 전자상거래 방식의 일종으로, 웹사이트를 통해 사이버거래 장소에서 구매자와 판매자간에 다양한 경매방식을 적용하여 물품의 경쟁매매가 이루어질 수 있도록 하는 서비스이다. 현재 국내외 인터넷 경매 사이트는 경매의 성격 보다 쇼핑몰에 경매를 부과한 형태의 복합적인 특징을 가지고 운용되고 있다. 이로 인해 가격을 기준으로 입찰 참여 및 경매 완료를 진행하기에는, 다소 현실성이 떨어진다는 문제를 내포하고 있다. 따라서, 본 논문은 구매하고자 하는 상품에 대하여 현재 진행 중인 경매의 상황을 예측 및 판단하여 구매자에게 경매 정보를 제공함으로써 합리적으로 물품의 구매를 도울 수 있는 알고리즘을 제시하고, 예측 알고리즘을 구현한 경매 예측 에이전트와 사용자의 패턴을 기록하고 상품구매, 입찰 등을 대리하는 에이전트들로 구성되는 에이전트 기반 경매 시스템을 소개한다.