• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.188-202
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• 2014

This major purpose of this study is to examine factors influencing the attitude toward News Feed advertising in Facebook. For this purpose, this study posited seven determinants including informativeness, entertainment, irritation, trust, individualization, incentive and privacy concern, which can have influences on the attitude toward News Feed Advertising. and this research tests the relationships between these seven determinants and the attitude toward News Feed Advertising. An online survey was administrated to collect data and hierarchical regression analyses were employed for data analysis. The results showed that infortainment as a new combined factor of informativeness and entertainment, trust, individualization have significantly positive influences on the attitude toward News Feed advertising in Facebook. It was also shown that the moderating effect of involvement on the relationship between irritation and the attitude. The results in this study implied that it is needed to reinforce the attributes of advertising including infortainment, trust and individualization to boost the effects of News Feed advertising in Facebook on consumers.

• Feed Journal
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• v.4 no.12 s.40
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• pp.39-45
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• 2006

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1476-1478
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• 2013

최근 페이스북(Facebook), 트위터(Twitter) 등의 SNS(Social Network Service)의 사용자가 급격하게 증가하고 있다. SNS가 발달하면서 언제 어디서나 쉽게 자신의 위치, 현재의 감정들을 온라인상에서 공유한다. 이에 따라 사람의 감정을 표현하는 단어 100여개를 7가지 감정(기쁨, 흥미, 슬픔, 분노, 놀람, 지루함, 통증)으로 분류하였으며[1]. 이를 분석하기 위한 감정 표현 분석기 모듈을 설계하였다. 설계한 모듈을 사용하여 페이스북의 사용자 뉴스피드(News-Feed)를 분석하여 사용자의 성향을 분석하였다.

• Feed Journal
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• v.4 no.3 s.31
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• pp.49-51
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• 2006

• Feed Journal
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• v.4 no.4 s.32
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• pp.48-49
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• 2006

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.170-172
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• 2021

현재 일상색활에서 다양한 사물들에 IT 기술이 접목되고 있다. 그 중 대표적인 제품으로 스마트미러가 있다. 스마트미러는 높은 접근성을 이용하여 사용자에게 일기예보, 뉴스피드, 캘린더, 개인맞춤정보 등 일상생활에 밀접한 다양한 정보를 제공한다. 본 논문은 영상처리 기반 얼굴인식을 이용한 스마트 미러 시스템을 제안한다. 그리고 실제 프로토타입을 제작함으로써 실제 사용가능 여부를 판단하였다.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.10
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• pp.251-258
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• 2018

Ransomware, a malicious software that requires a ransom by encrypting a file, is becoming more threatening with its rapid propagation and intelligence. Rapid detection and risk analysis are required, but real-time analysis and reporting are lacking. In this paper, we propose a ransomware infection detection system using social big data mining technology to enable real-time analysis. The system analyzes the twitter stream in real time and crawls tweets with keywords related to ransomware. It also extracts keywords related to ransomware by crawling the news server through the news feed parser and extracts news or statistical data on the servers of the security company or search engine. The collected data is analyzed by data mining algorithms. By comparing the number of related tweets, google trends (statistical information), and articles related wannacry and locky ransomware infection spreading in 2017, we show that our system has the possibility of ransomware infection detection using tweets. Moreover, the performance of proposed system is shown through entropy and chi-square analysis.

• Journal of Korea Multimedia Society
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• v.17 no.2
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• pp.218-225
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• 2014

The marketing which uses SNS, which has the most biggest growth since appearance of Facebook, is proved to be effective, then many companies make variable attempts of marketing by using Facebook. This paper presents the method of marketing using videos, that has a major part in Facebook, and the method to raise their ratings. By using the video play button it registers information of the videos in Facebook then shares them to other people in real-time through inner News Feed. Therefore, we can maximize effect of marketing through viral marketing to use other users responses.

• 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.

• The KIPS Transactions:PartD
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• v.16D no.6
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• pp.845-850
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• 2009

Use of XML data has been increased with growth of Web 2.0 environment. XML is recognized its advantages by using based technology of RSS or ATOM for transferring information from blogs and news feed. Bitmap clustering is a method to keep index in main memory based on Relational DBMS, and which performed better than the other XML indexing methods during the evaluation. Existing method generates too many clusters, and it causes deterioration of result of searching quality. This paper proposes k-Bitmap clustering method that can generate user defined k clusters to solve above-mentioned problem. The proposed method also keeps additional inverted index for searching excluded terms from representative bits of k-Bitmap. We performed evaluation and the result shows that the users can control the number of clusters. Also our method has high recall value in single term search, and it guarantees the searching result includes all related documents for its query with keeping two indices.