• Journal of Digital Convergence
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• v.12 no.1
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• pp.273-280
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• 2014

This study deals with the digital policy proposal through the study about the relation of the sustainable use and the addiction to social media such as facebook. Researcher tried to figure out the antecedents and consequence factors about the service addiction recognized by the social media users and to obtain the measures for the sustainable use of service and the implications for the prevention of addiction. Research results showed that 1) the individual innovation had an effect on the service satisfaction, the addiction, and the sustainable use, 2) the service satisfaction influenced on the addiction and the sustainable use, 3) the perceived service addiction had a reverse effect on the sustainable use. This is described that user's addiction recognition is the obstacle of sustainable growth in service. The proposed policy of this research is summarized as the following two. 1) When the users act the addictive using behavior, service provider has to pay attention to user's withdrawal from the service because of their addiction. 2) The government should offer healing facilities, service etc. for the addicted users and the prevention of the service addiction when they recognized their discomfort.

• Journal of Internet Computing and Services
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• v.12 no.1
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• pp.99-110
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• 2011

Mobile environments rapidly changing and digital convergence widely employed, mobile devices including smart phones have been playing a critical role that changes users' lifestyle in the areas of entertainments, businesses and information services. The various services using mobile devices are developing to meet the personal needs of users in the mobile environments. Especially, an LBS (Location-Based Service) is combined with other services and contents such as augmented reality, mobile SNS (Social Network Service), games, and searching, which can provide convenient and useful services to mobile users. In this paper, we design and implement the prototype of mobile personal assistant (PA) agents. Our personal assistant agent helps users do some tasks by hiding the complexity of difficult tasks, performing tasks on behalf of the users, and reflecting the preferences of users. To identify user's preferences and provide personalized services, clustering and classification algorithms of data mining are applied. The clusters of the log data using clustering algorithms are made by measuring the dissimilarity between two objects based on usage patterns. The classification algorithms produce user profiles within each cluster, which make it possible for PA agents to provide users with personalized services and contents. In the experiment, we measured the classification accuracy of user model clustered using clustering algorithms. It turned out that the classification accuracy using our method was increased by 17.42%, compared with that using other clustering algorithms.

• Journal of Information Technology Services
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• v.11 no.2
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• pp.319-337
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• 2012

To stress the importance of privacy in social networking, I presented an analysis on how information control and information management vulnerability influence trust and privacy concerns in social networking, and how trust and privacy concerns influence the sustainable usage intention of social network services. I also analyzed the factors affecting privacy concerns to present the method to alleviate social network users' concerns about privacy. Information collection control, information processing control and information management vulnerability were chosen and analyzed as the factors affecting privacy concerns. The results showed that information collection control and information management vulnerability significantly affected trust and privacy concerns; and information processing control did not significantly affect privacy concerns. The relationship between trust and privacy concerns, and sustainable usage intention was statistically significant; and the relationship between trust and expansion of communication channels was also statistically significant.

• Journal of Digital Contents Society
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• v.18 no.1
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• pp.231-238
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• 2017

Today, as a means of online communication, the use of emoticons is activated in SNS. Emoticon is an important element to share impact effects and fun together with various content design attempts. In this paper, we analyze the expression patterns changed through development process of emoticons, and analyze characteristics and effects of emoticons which are combined with traditional culture among the types of emoticons currently used.

• Information and Communications Magazine
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• v.28 no.7
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• pp.59-68
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• 2011

스마트폰의 플랫폼화와 위치 측위 기술 및 관련 지도 DB의 개방은 위치 기반 서비스(LBS, Location Based Service)의 패러다임의 변화를 가져왔다. 위치 측위를 위한 HW의 제공, 위치 측위 API 및 프레임워크 제공, 지도 DB 및 각종 DB의 제공 등에 힘입어 LBS는 본격적인 성장을 맞이하고 있다. 또한 소셜 네트워크 서비스(SNS, Social Network Service), 증강 현실 (AR, Augmented Reality), 게임 등 다른 킬러앱과 연계하여 다양한 서비스를 제공하고 있으며 향후 안전 및 사고 예방 등의 공공적인 측면에서도 다양한 애플리케이션이 등장하고 있다. 그러나 이러한 급격한 패러다임의 변화는 개인정보 보호와 개인의 안전 및 편의성이라는 모순적인 이해관계 속에서 많은 문제점을 동시에 일으키고 있다. 본 고에서는 스마트폰이 가져온 LBS의 패러다임 변화 및 스마트폰 LBS의 기술, 서비스 방향을 정리하고 향후 과제 및 발전 방향에 대해서 살펴본다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.189-191
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• 2014

This paper provides an overview of the E-learning service education on the last decade, In the early 2000's the emphasis of educational technology was on interactive multimedia- stand alone packages on computer hard disks or portable memory, which integrated a range of media forms in the lately. Customers handle finding the best sources of content.The system then uses social signals such as those coming from Facebook, Twitter, LinkedIn, delicious as well as clicks and views. The SNS and network infrastructure is sufficiently mature that the focus should shift to how to use the technology most appropriately to facilitate learning. As we study environmental conditions of the traditional internet and the mobile internet users in some ways. In this paper, analyze the nature of learning, role of educational and suggest alternative policy, innovation of e-learning service and effective e-learning environment in developing technology.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.848-849
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• 2014

실시간으로 고객의 피드백을 파악할 수 있는 방법으로 SNS 등과 같은 빅 데이터를 이용하는 것이 매우 효율적 이다. 따라서 최근 기업들은 온라인상의 빅 데이터 평판을 분석하는 시스템들을 이용하여 고객피드백에 관한 정보를 수집하고 분석하고 있다. 본 논문에서는 온라인상의 고객피드백의 보다 정확하고 효율적인 정보 수집과 분석이 가능하며 분석 지식체계의 근간을 이루는 서비스 모델구축 방법을 제안한다. 서비스 모델 구축방법은 서비스 산업군에 대한 시소러스 분석 체계를 정의하고 데스트베드 대상의 인터뷰 등을 통하여 분류체계 기본 방향을 수립하며 타겟 대상의 특화된 수집원 및 범위를 설정하는 방법 등으로 이루어진다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.671-672
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• 2014

최근 기업의 효율적인 경영을 위해 다양한 소셜 채널에서 폭발적으로 생성되고 확산되는 빅 데이터를 실시간으로 분석하는 기술이 개발되고 있다. 본 논문에서는 관광서비스에 관해 소셜 미디어 상의 빅 데이터를 이용하여 보다 정확하고 효율적인 정보 수집과 분석이 가능하도록 하기위한 모델구축 방법을 제안하고 관광서비스에 관한 평판을 분석한다. 관광 산업 도메인 네트워크를 활용한 표준화, 일반화 확보를 위해 먼저 B2C 산업군 및 업종별 공통 수집원 추출 및 표준화 분석 체계 수립을 통한 해당 적용분야의 설계안 수립하고 관광객(소비자) 작성 게시글 분석을 위한 산업군 정보 추출하며 관광지, 숙박지, 교통 등 다양한 업종에 대한 분석 수행한다. 관광지에 대한 평가 기준을 기존의 설문이 아닌 SNS 상의 고객 의견을 바탕으로 호감도로 분석한다.

• Annual Conference of KIPS
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• 2010.11a
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• pp.453-454
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• 2010

최근 SocialNetworkService(이하 SNS)시장이 급격히 증가하고 있는 시점에서 스마트 폰을 이용하여 SNS클라이언트에 접속하는 사용자 역시 증가하고 있다. 스마트 폰은 언제 어디서나 SNS에 포스팅을 하여 여러 사용자들과 의견을 나눌 수 있다는 점에서 비교적 정확한 정보를 얻을 수 있다. 본 논문은 스마트 폰에서 제공되는 카메라와 GPS기능을 활용하여 사진을 촬영 할 때 촬영 주변정보를 검색하여 사용자가 원하고자 하는 정보를 제공 해 주며, 사용자에게 맞춤정보 제공해 주기 위해 SNS와 연동하여 어플리케이션 사용자들 간의 자유로운 정보 공유도 가능하게 하였다.

• Annual Conference of KIPS
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• 2022.11a
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• pp.34-36
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• 2022

Over the last decades, information has increased exponentially due to SNS(Social Network Service), IoT devices, World Wide Web, and many others. Therefore, it was monumentally hard to offer a good service or set of recommendations to consumers. To surmount this obstacle numerous research has been conducted in the Data Mining field. Different and new recommendation models have emerged. In this paper, we proposed a Content-based movie recommendation system using demographic information of users and the average rating for genres. We used MovieLens Dataset to proceed with our experiment.