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http://dx.doi.org/10.15207/JKCS.2017.8.1.025

Development of Smart Senior Classification Model based on Activity Profile Using Machine Learning Method  

Yun, You-Dong (Dept. of Computer Science and Engineering, Korea University)
Yang, Yeong-Wook (Dept. of Computer Science and Engineering, Korea University)
Ji, Hye-Sung (Dept. of Computer Science and Engineering, Korea University)
Lim, Heui-Seok (Dept. of Computer Science and Engineering, Korea University)
Publication Information
Journal of the Korea Convergence Society / v.8, no.1, 2017 , pp. 25-34 More about this Journal
Abstract
With the recent spread of smartphones and the introduction of web services, online users can access large-scale content regardless of time or place. However, users have had trouble finding the content they wanted among large-scale content. To solve this problem, user modeling and content recommendation system have been actively studied in various fields. However, in spite of active changes in senior groups according to the changes in information environment, research on user modeling and content recommendation system focused on senior groups are insufficient. In this paper, we propose a method of modeling smart senior based on their preference, and further develop a smart senior classification model using machine learning methods. As a result, we can not only grasp the preferences of smart seniors, but also develop a smart senior classification model, which is the foundation for the research of a recommendation system which will provide the activities and contents most suitable for senior groups.
Keywords
Activity Profile; Smart Senior; Machine Learning; Supervised Learning; Unsupervised Learning; Classification Model;
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Times Cited By KSCI : 8  (Citation Analysis)
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