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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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1 M. J. Kim, D. S. Park, M. Hong, H. M. Lee, "Personalized Movie Recommendation System Using Context-Aware Collaborative Filtering Technique", KIPS Transactions on Computer and Communication Systems, Vol. 4, No. 9, pp. 289-296, 2015.   DOI
2 J. C. Hung, J. D. Weng, Y. H. Chen, "A recommendation system based on mining human portfolio for museum navigation", Evolving Systems, Vol. 7, No. 2, pp. 145-158, 2016.   DOI
3 D. M. Lee, J. G. Kim, "Study on UX Design Direction of New Residential Space according to the Change of the Elderly's Life Style", Journal of Korea Design Knowledge, Vol. 31, pp. 135-144, 2014.
4 H. K. Ko, "Affordance Planning Strategy for Mathematics App development for Senior citizen using Smart-devices", Communications of mathematical education, Vol. 30, No. 1, pp. 85-99, 2016.   DOI
5 Zheng, X., & Pulli, P., "Towards high quality mobile services for Senior citizens in smart living environments", In 2007 International Conference on Multimedia and Ubiquitous Engineering (MUE'07), pp. 164-170, 2007.
6 Massimi, M., Baecker, R. M., & Wu, M., "Using participatory activities with seniors to critique, build, and evaluate mobile phones", In Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility, pp. 155-162, 2007.
7 A. R. Beak, S. J. Jun, "A Research on Emotional Design for Mobile Phone in Next Generation", Journal of Integrated Design Research, Vol. 14, No. 4 pp. 21-34, 2015.
8 H. S. Kim, "A Study on the Usage of Mobile Music Application in Senior Group: Focused on Smart Phones for Active Senior", Journal of the Korean Society of Design Culture, Vol. 18, No. 1 pp. 103-116, 2015.
9 S. I. Jeong, "A Study on Smarthome APP GUI for the Active Senior", Journal of Korean Institute of Culture Product, Vol. 44, pp. 83-92, 2016.
10 B. K. Lee, S. H. Kim, "A Study on UX/UI of Healthcare Based Application Contents for Active Seniors", JJournal of the Korean Society of Design Culture, Vol. 21, No. 4 pp. 433-445, 2015.
11 B. J. Lee, J. S. Kwon, G. C. Go, Y. L. Choi, "A Method for Analyzing Web Log of the Hadoop System for Analyzing a Effective Pattern of Web Users", Journal of the Korea society of IT services, Vol. 13, No. 4, pp. 231-243, 2014.   DOI
12 S. I. Choi, N. G. Kim, "Identifying the Interests of Web Category Visitors Using Topic Analysis", Journal of Information Technology Applications and Management, Vol. 21, No. 4, pp. 415-429, 2014.
13 H. J. Lee, "An Analysis on Communication Behaviors Performed by Digital Photography Community Users - focusing on the Photo Gallery Service, NAVER", Yonsei University Graduate School of Journalism and Broadcasting Master's Thesis, 2011.
14 D. C. Lee, E. J. Lee, B. S. Kim, G. O. Jin "A Study of Influencing Factors in Internet Shopping of the Consumer's Purchase Intention", Management Information Systems review, Vol. 30, No. 1, pp. 211-226 2011.
15 S. H. Jang, "Web site analysis using data mining : around web log analysis", Korea University Graduate School of Computer and Information System Master's Thesis, 2010.
16 Feng, M., Heffernan, N., & Koedinger, K., "Addressing the assessment challenge with an online system that tutors as it assesses", User Modeling and User-Adapted Interaction, Vol. 19, No. 3, pp. 243-266, 2009.   DOI
17 Dy, J. G., & Brodley, C. E., "Feature selection for unsupervised learning", Journal of machine learning research, Vol. 5, pp. 845-889, 2004.
18 G. J. Kim, J. S. Han, "Unsupervised Machine Learning based on Neighborhood Interaction Function for BCI(Brain-Computer Interface)", Journal of digital Convergence, Vol. 13, No. 8 pp. 289-294, 2015.   DOI
19 S. Y. Oh, "Decision Tree State Tying Modeling Using Parameter Estimation of Bayesian Method", Journal of the Korea Convergence Society, Vol. 13, No. 1, pp. 243-248, 2015.
20 Y. B. Park, G. M. Lee, S. J. Kang, "A Study of Standard Setting Method Using the Cluster Analysis and Validity", User Modeling and User-Adapted Interaction, Vol. 24, No. 3, pp. 645-664, 2011.
21 Niculescu-Mizil, A., & Caruana, R., "Predicting good probabilities with supervised learning", In Proceedings of the 22nd international conference on Machine learning, pp. 625-632. 2005, ACM.
22 Islam, M. J., Wu, Q. J., Ahmadi, M., & Sid-Ahmed, M. A., "Investigating the performance of naive-bayes classifiers and k-nearest neighbor classifiers", In Convergence Information Technology, 2007. International Conference on, pp. 1541-1546, 2007, IEEE.
23 Pal, M., & Mather, P. M., "An assessment of the effectiveness of decision tree methods for land cover classification", Remote sensing of environment, Vol. 86 No. 4, pp. 554-565, 2003.   DOI
24 Mazurowski, M. A., Habas, P. A., Zurada, J. M., Lo, J. Y., Baker, J. A., & Tourassi, G. D., "Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance", Neural networks, Vol. 21, No. 2, 427-436, 2008.   DOI
25 Saxena, A., & Saad, A., "Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems", Applied Soft Computing, Vol. 7, No. 1, pp. 441-454, 2007.   DOI
26 H. W. Byeon, "The Factors of Participating in a Smoking Cessation Program using Integrated Method of Decision Tree and Neural Network Algorithm", Journal of the Korea Convergence Society, Vol. 6, No. 2, pp. 25-30, 2015.   DOI
27 S. Y. Choi, H. C. Ahn, "Optimized Bankruptcy Prediction through Combining SVM with Fuzzy Theory", Journal of digital Convergence, Vol. 13, No. 3, pp. 155-165, 2015.   DOI
28 Mavroforakis, M. E., & Theodoridis, S., "A geometric approach to support vector machine (SVM) classification", IEEE transactions on neural networks, Vol. 17, No. 3, pp. 671-682, 2006.   DOI
29 Moreno, P. J., Ho, P. P., & Vasconcelos, N., "A Kullback-Leibler divergence based kernel for SVM classification in multimedia applications", In Advances in neural information processing systems. 2003.