• Information Systems Review
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• v.23 no.4
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• pp.45-67
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• 2021

As the transaction volume of the C2C second-hand market is growing, the number of frauds, which intend to earn unfair gains by sending products different from specified ones or not sending them to buyers, is also increasing. This study explores the model that can identify frauds in the online C2C second-hand market by examining the postings for transactions. For this goal, this study collected 145,536 field data from actual C2C second-hand market. Then, the model is built with the characteristics from postings such as the topic and the linguistic characteristics of the product description, and the characteristics of products, postings, sellers, and transactions. The constructed model is then trained by the machine learning algorithm XGBoost. The final analysis results show that fraudulent postings have less information, which is also less specific, fewer nouns and images, a higher ratio of the number and white space, and a shorter length than genuine postings do. Also, while the genuine postings are focused on the product information for nouns, delivery information for verbs, and actions for adjectives, the fraudulent postings did not show those characteristics. This study shows that the various features can be extracted from postings written in C2C second-hand transactions and be used to construct an effective model for frauds. The proposed model can be also considered and applied for the other C2C platforms. Overall, the model proposed in this study can be expected to have positive effects on suppressing and preventing fraudulent behavior in online C2C markets.

• Journal of Korean Library and Information Science Society
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• v.37 no.1
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• pp.283-303
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• 2006

An understanding the information seeking-behaviour of archival users is a basic for archival reference services. This study tries to understand who are users of internet board of archives, how and why they ask questions. And the study examines how archivists answer the users' questions. The data used in this study are 3,760 answers and questions in the internet board of National Archives and Record Service during $2000\sim2005$. According to this analysis. lots of users of the board make queries for archival management and asking various archives. And they are public officials, archivists, students, researches, and producers of media. The users mainly ask simple questions and it take average 5 days for users to get answers.

• Journal of the Korea Computer Industry Society
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• v.2 no.10
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• pp.1317-1328
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• 2001

The existing swearing remover programs could not have blocked even slightly transformed swearings because of their input blocking properties. To overcome these defects, this paper implemented a supervising program which analysize and remove/replace swearings on web board. For this purpose this paper first classified the patterns of swearings on web board and then implemented a tokenizer which can analysize those patterns. The module tokenizing and removing/replacing swearings on each web board was implemented as a thread so that it could be parallely controlled. As a result of running this Program on some web boards , we found out it had detected almost of the swearings as 91.9% of recall but it could not meet our purpose sufficiently on morphological transformed swearings and swearings in context. So the studies will be continued about processing on morphological ambiguous words, ambiguous words in meaning and sweaings in context by extracting this program's manual mode. We expect this program could induce the users to proper usage of words and replace the manual works of web board managers in schools, public bodies, broadcasting stations etc.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10b
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• pp.131-133
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• 2000

인터넷 경매는 경매인과 입찰자의 상호의사표현을 통한 구매 거래를 인터넷으로 하는 것을 말한다. 인터넷 경매는 상품을 게시하고 그 상품에 대해 경매 입찰자가 입찰에 참여하여 입찰마감시간에 가장 높은 입찰을 제시하는 경매 입찰자에게 상품이 낙찰되는 방법이 사용되고 있다. 국내에서도 인터넷 경매가 활성화됨에 따라 인터넷 경매 사용자를 위한 소프트웨어 에이전트 시스템의 연구가 진행이 되고 있다. 그러나 현 에이전트 시스템은 경매 정보에 대한 검색기능만이 제공되고 있다. 일반 경매에서 경매 분석가를 통해 경매 정보와 입찰 참여에 대한 자문을 구할 수 있으나 인터넷 경매에서 이러한 경매분석 시스템이 도입되어 있지 않다. 따라서, 단순한 게시판 형식의 인터넷 경매 시스템의 인공지능 에이전트를 도입하여 해당 경매상품에 대해 판매자에게 적정한 경매 시기와 초기값을 계산 및 예측하여 최대한의 마진을 남길 수 있도록 해주는 에이전트 시스템의 연구가 본 논문의 목적이다. 상품을 인터넷 경매에 올리는 판매자에게 해당 상품에 대해 판매자가 어느 시기에 얼마의 초기 가격으로 경매를 시작하면 최대한의 마진을 남길 수 있는지에 대해 정보를 메일로 푸쉬해 주는 시스템을 설계하며 마진 알고리즘을 이용하여 마진 결정 에이전트에 의해 마진을 생성하며 생성된 마진은 푸쉬에이전트에 의해 경매자에게 메일로 결과값을 전송해 주는 시스템을 제안한다.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.14 no.11
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• pp.61-62
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• 1996

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.361-362
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• 2018

본 연구는 대학 웹페이지의 Q&A(질의응답) 게시판에 게재된 비정형화 된 데이터를 수집한 후 텍스트마이닝과 네트워크 분석을 활용하여 자주 등장하는 키워드 간 연관 패턴을 파악하고자 한다. 분석결과를 바탕으로 FAQ(자주하는 질문) 게시판을 구성한다면 반복적인 질문에 대한 민원을 간소화함으로써 수요자의 편의성과 행정의 효율성 향상에 기여하고 나아가 원활한 양방향 소통이 가능할 것으로 기대한다.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.109-114
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• 2019

This study explored how the tendency of writing 'comment' by Facebook users and the number of 'like' in posting message affected to product attitude, purchasing intention. One hundred thirty five male and female college students were divided into groups with high/low tendency of writing 'comment'. The subjects had to read posting message about athlete shoes on Facebook's newsfeed, different from the conditions under which the 'like' in the posting was high and low. Then, they were responded product attitude and the intention of purchasing. The results of two-way ANOVA showed that the users with low tendency of writing 'comment' displayed more positive product attitude and higher willingness to purchase under condition with a high 'like' number of posting than under condition with a low 'like' number of it.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.3
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• pp.155-163
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• 2011

Rumor or abusive web postings in internet has become a social issue. Web postings may be proposed on evidence in form of a screenshot in libel suit, but a screenshot can be easily modified by computer programs. A person can make ill use of the screenshot which is modified deliberately original contents to opposite meaning in a lawsuit. That makes an innocent person to be punished because it can have difficulties to verify despite analyzing the server data. A screenshot of web postings is likely to fail to prove its authenticity and it is not able to reflect the fact. If notarization for web postings is offered, clear and convincing evidence can be submitted in a court. So, related techniques and policies should be established In this paper, we propose some technical and legal conditions and design for notarization and archive system of web postings for litigation.

• Journal of Internet Computing and Services
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• v.10 no.5
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• pp.135-143
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• 2009

The purpose of this study is to examine the variables related to the students' e-learning participation that have an effect on learning achievement in e-learning environment of cyber universities. Based on the related research, the followings are derive. First, students' attendance and participation in discussion showed higher correlation with the learning achievement than other participation variables. However, the total studying time in online classes showed lower correlation with the learning achievement. Second, the variables that have an effect on the learning achievement were in the order of students' attendance, participation in discussion, access frequency to online classes, learning progress and number of data uploads. Third, by the learners' background, the difference among the variables that have an effect on learning achievement were found. Based on the results above, this study suggests considerations about participation variables to enhance the learning achievement in cyber universities.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.6
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• pp.1103-1110
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• 2013

This paper proposes a method of identifying ownership of personal information in Social Network Service. In detail, the proposed method automatically decides whether any location information mentioned in twitter indicates the publisher's residence area. Identifying ownership of personal information is necessary part of evaluating risk of opened personal information online. The proposed method uses a set of decision rules that considers 13 features that are lexicographic and syntactic characteristics of the tweet sentences. In an experiment using real twitter data, the proposed method shows better performance (f1-score: 0.876) than the conventional document classification models such as naive bayesian that uses n-gram as a feature set.