• Information Systems Review
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• v.20 no.3
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• pp.73-92
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• 2018

Many users are uploading their daily life activities on SNS and use hashtags to describe their postings. Hashtag has the advantage of letting users specify categories for their postings, however until now, the users has had to manually input the hashtags which has been very inconvenient for them. Therefore, in order to address this issue, this paper proposes a hashtag recommender system which recommends proper hashtags to users based on their uploaded images on SNS. The proposed system is designed using four analytic structures, which is composed of a camera information-based analysis, an address-based analysis, a location based CF analysis, and an image-based analysis. In order to check whether the proposed system is improved compared to the existing systems in terms of the hashtag recommendation function, we conducted an evaluation with 212 SNS users from fifteen countries. As a result of the evaluation process, the proposed system shows very high accuracy recommendation results compared to the existing hashtag recommender systems.

• Informatization Policy
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• v.21 no.1
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• pp.57-76
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• 2014

The purpose of this research is to investigate the role of social dimensions in predicting the intention to use SNS. We proposed an integrative SNS acceptance model based on the theory of planned behavior (TPB), the technology acceptance model (TAM), and the social influence theory. Included in the model are attitude toward SNS use, subjective norm, information cascades, and perceived behavioral control as antecedents to intention to use SNS. An empirical analysis was conducted using data collected from a questionnaire survey with 228 college students in Korea, and it yielded the following findings. First, the two social dimensions, namely subjective norm and information cascades, were found to have a significant positive relationship with the intention to use SNS. In particular, information cascade turned out to have the strongest impact of the three antecedents to intention to use SNS. Second, perceived usefulness and perceived ease of use were found to have a significant positive influence on the attitude toward SNS use.

• Fashion & Textile Research Journal
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• v.23 no.2
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• pp.186-199
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• 2021

SNS (social networking service) plays an important role in delivering information regarding fashion brands and providing a space for communication between fashion retailers and SNS users, as well as between users. This study primarily focuses on exploring the relationships among the motivation of SNS users and social comparison, clothing purchasing behaviors and the difference in the relationships according to individual characteristics. An online survey was conducted on Chinese female consumers in their 20's and 30's who had experience in fashion SNS. A total of 297 women completed online survey. The results of the study revealed that: (1) consumers who have stronger motivation of information seeking and interpersonal communication through fashion SNS reached more active upward comparison and peer comparison accordingly; (2) upward comparison had a significant effect on conspicuous consumption and bandwagon, while peer comparison had no significant effect; and (3) the self-esteem of fashion SNS users significantly moderated the effect of social comparison on conspicuous consumption and conformity consumption. This study contributed to expanding the knowledge on the relationships among the motivations of SNS users and social comparison, and shed light on Chinese SNS users' characteristics and purchasing behaviors in the fashion SNS context. This study also provides vital implications to fashion brands and retailers.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.1
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• pp.61-71
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• 2014

Social networking services have changed the way people communicate. Rapid growth of information generated by social networking services requires effective search methods to give useful results. Over the last decade, social search methods have rapidly evolved. Traditional techniques become unqualified because they ignore social relation data. Existing social recommendation approaches consider social network structure, but social context has not been fully considered. Especially, the friend recommendation is an important feature of SNSs. People tend to trust the opinions of friends they know rather than the opinions of strangers. In this paper, we propose a levelized data processing method for social search in ubiquitous environment. We study previous researches about social search methods in ubiquitous environment. Our method is a new paradigm of levelelized data processing method which can utilize information in social networks, using location and friendship weight. Several experiments are performed and the results verify that the proposed method's performance is better than other existing method.

• Journal of The Korean Association of Information Education
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• v.17 no.1
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• pp.1-8
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• 2013

SNS is a social networking service that removes the barrier between cyber spaces and the real world and helps people who have common interests to have a two-way communication, manage their interpersonal relationships and share information. The domestic and international SNS markets have attained a steady growth, and their growth is being more accelerated in recent days. However, studies on SNS have just examined adults, and it's required to research the use of SNS and cyber behaviors via SNS among elementary and middle school students. This study attempted to analyze the relationship of the use of SNS, motivation of using SNS, the use of active SNS functions, SNS-dependent tendency and SNS awareness to cyber behaviors via SNS among elementary and middle school students. As a result, regardless of gender and grade, stealing private information was the most frequent activity and the frequency of 'contacting strangers' activity increased most rapidly with the usage time and grade. SNS dependency turned out to be the most highly correlated with the negative cyber behavior. Moreover, the difference of gender was not significant to the overall negative cyber behavior, whereas that of grade was.

• The Journal of Information Systems
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• v.25 no.4
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• pp.1-21
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• 2016

Purpose The study analyzed the factors affecting continuance use and self-disclosure in the SNS(social networking service) context based on a dual-factor model. As SNS users have concerned privacy for a long time, privacy concern affects continuous use and self-disclosure. In details, concern over privacy may have a stronger effect on self-disclosure than on continuance use as users' personal information can be more exposed during posting their dailies and photos. Design/Methodology/Approach SNS benefits, trust in SNS providers, and social influence are served as the key enablers and privacy concern as the inhibitor. Moreover, the relative impacts of SNS benefits and privacy concern on continuance use and self-disclosure were analysed in this study. From the data of 327 Facebook users, the researchers tested proposed theoretical model by using PLS. Findings Users' continuance intention and self-disclosure behavior are differently affected by different antecedents. Trust in SNS provider had a significant effect on self-disclosure intention, while it has no significant effect on continuance intention. Concern over privacy was negatively related to self-disclosure intention, while it was positively associated with continuance intention.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.251-253
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• 2023

본 연구는 spring framework와 각 SNS들의 API를 활용한 각 플랫폼들을 한 사이트에 연동하여 사용자들이 손쉽게 관리하기 위하여 진행하였다. SNS 통합 플랫폼에서의 중요한 요소는 사용자들의 SNS 관리 시간을 단축시키는 것인데 이를 위해 플랫폼들의 게시물들을 한 곳에서 게시, 수정, 삭제 그리고 여러 플랫폼에 게시물을 동시에 업로드하는 기능과 게시물들을 필터링하는 기능을 제공하였다. 이를 통해 사용자의 편의성은 올라가며 더 효율적으로 게시물들을 관리하여 시간을 단축시킬 수 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.91-94
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• 2011

The LBSNS(Location-Based Social Networking Service) service has been well-received by researchers and end-users, such as Twitter. Location-Based service of Twitter is now structured that users could not subscribe the information of their interesting local area. Those who being following from someone tweet message included information of local area to them just for their own interesting. However, follower may receive that kind of tweet. In order to handle the problem, we propose filtering technique using spatial join. The first work for filtering technique is to add a location information to tweets and users. In this paper, location information is represented by MBR(Minimum Bounding Rectangle). Location information is divided into dynamic property and static property. Suppose that users are continuously moving, that means one of the dynamic property's example. At this time, a massive continous query could cause the problem in server. In this paper, we create Virtual Grid on Google Map for reducing frequency of query, and conclude that it is useful for server.

• The Journal of Society for e-Business Studies
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• v.16 no.1
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• pp.1-15
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• 2011

The new environment of music service has brought changes in digital music industry. Today, various forms of music contents are presented in ubiquitous environments. Thus, securing various contents becomes very important in monopolistic competition of music market. Under the circumstance, web 2.0 provides a networking environment to form diverse relations. Social Network Service (SNS) is a service to emphasize people relation and is different from information-centered Internet service. And mobile SNS becomes popular as Smartphone rapidly increases. NeowizBugs merged with NeowizInternet managing Sayclub of a music-specified SNS site. And the firm confirms comprehensive contents by making ties with SM entertainment. Thus, the integration corporation secures and manages a new business model by linking digital contents with SNS. Generally, music-specified SNS has advertisement business model and uses a recommend system utilizing the database of users. By introducing the case of NeowizBugs, this study tries to identify the success strategy of music distributors fitting ubiquitous environment including web 2.0, mobile SNS, Smartphone, etc.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.1-16
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• 2022

Social network service (SNS) using mobile or web is growing rapidly, and the emergence of various platform services is causing innovative changes in social network service (SNS). This study is to identify the target relation factors of social network users and to empirically study the causal relationship of how much these factors affect user satisfaction through pleasure and self-efficacy. To present an effective and efficient development plan in. In order to empirically verify the research model of this study, a survey was conducted with the general public who had experience using social network services (SNS). Path analysis was performed. As a result, it was possible to verify the correlation of the object relational factors on user satisfaction through pleasure and self-efficacy.First, non-excluded had a significant effect on pleasure, but did not significantly affect self-efficacy. Second, stability attachment did not significantly affect both enjoyment and self-efficacy. Third, social ability did not significantly affect both enjoyment and self-efficacy. Fourth, self-centeredness did not have a significant effect on both enjoyment and self-efficacy. Fifth, pleasure had a significant effect on both self-efficacy and user satisfaction. Sixth, self-efficacy had a significant effect on user satisfaction.