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http://dx.doi.org/10.17662/ksdim.2017.13.1.023

Recommendation Method considering New User in Internet of Things Environment  

Kwon, Joonhee (경기대학교 컴퓨터과학과)
Kim, Sungrim (서일대학교 소프트웨어공학과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.13, no.1, 2017 , pp. 23-35 More about this Journal
Abstract
With the popularization of mobile devices, the number of social network service users is increasing, thereby the amount of data is also increasing accordingly. As Internet of Things environment is expanding to connect things and people, there is information much more than before. In such an environment, it becomes very important to recommend the necessary information to the user. In this paper, we propose a recommendation method that considers new users in IoT environment. In the proposed method, we recommend the information by applying the centrality-based social network analysis method to the recommendation method using the social relationships in the social IoT. We describe the seven-step recommendation method and apply them to the music circle scenario of the IoT environment. Through the music circle scenario, we show that we can recommend more suitable information to new users in the IoT environment than the existing recommendation method.
Keywords
IoT; Social Network Analysis; Recommendation; New User; Centrality;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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