Implementation of Social Network Services for Providing Personalized Nutritious Information on Facebook

Hyojin An, Jaewon Choi

Abstract


Personalized data of users at social network service can be used as a new resource for providing personalized nutrition information. Although providing personalized information for nutrition using social data, there are a few studies on providing personalized nutrition information with customized user preference based on social network service. The purpose of this study is to implement the clustering of data analysis with collected personal data of Facebook users. To find out the method for providing personalized information, this study described an effective method for providing nutrition information by analyzing web posting on Facebook that can be called a typical social network service. According to the result from clustering, sodium and sugars were important variables from diet of user. Furthermore, the importance of elements of user’s diet has some differences according to vendor/manufactures.


Full Text:

PDF

References


Barabasi, A. L. and Bonabeau, E., Scale- Free Networks(PDF), Scientific American, 2003.

Barabasi, A. L., Linked : How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life, Plums Books, 2003.

Byeon, J. H., Oh, J. M., and Moon, N. M., “A Study on Keyword Discovery based on Social Network Service,” In Proceedings of Annual Conference on Human Computer Interaction, Vol. 1, pp. 471- 474, 2011.

Choi, J. H., Ok, J. W., and Kim, U. M., “Related Service Offers Technology with Keyword Link Method in Ubiquitous Environment,” In Proceedings of Conference on the Korean Institute of Information Scientists and Engineers, Vol. 34, No. 2, pp. 46-49, 2007.

Han, J. S. and Jeong, J. H., “A Web- based Internet Program for Nutritional Counseling and Diet Management of Patient with Diabetes Mellitus,” Journal of the Korean Society of Food Science and Nutrition, Vol. 33, No. 1, pp. 114-122, 2002.

Han, J. S., Kim, J. K., and Jeon, Y. S., “A Web-based Internet Program for Nutritional Assessment and Diet Prescription by Renal Diseases,” Journal of the Korean Society of Food Science and Nutrition, Vol. 31, No. 5, pp. 847-855, 2002.

Han, S. J., Seo, E. Y., and Kim, W. K., “A Comparative Study on Acquiring and Using Patterns of Information about Food and Nutrition between Medical Personnel and Non-Medical Personnel,” Journal of the East Asian Society of Dietary Life, Vol. 14, No. 3, pp. 302-308, 2004.

Han, Y. H., “The Current Status of Web- Based Programs for Dietary Intake Assessment in Korea,” Public Health Weekly Report, KCDC, Vol. 5, No. 15, pp. 275-280, 2012.

Hyun, T. S., Kang, N. M., and Kim, J., “Evaluation of Websites on Nutrition Information,” Korean Journal of Dietary Culture, Vol. 16, No. 1, pp. 20-26, 2001.

Kang, K. H., Han, K. K., and Hong, M., “The Healthcare Web Service using a Body Composition Analyze,” In Proceedings of Conference on Korean Society for Internet Information, Vol. 8, No. 2, pp. 483-486, 2007.

Kang, M., Kim, B., Gloor, P., and Bock, G. W., “Understanding the effect of social networks on user behaviors in community-driven knowledge services,” Journal of the American Society for Information Science and Technology, Vol. 62, No. 6, pp. 1066-1074, 2011.

Kim, J. H., Park, J. S., Jung, E. Y., Park, D. K. and Lee, Y. H., “A Diet Prescription System for U-Healthcare Personalized Services,” The Journal of the Korea Contents Association, Vol. 10, No. 2, pp. 111- 119, 2010.

Kim, T. W. and Baek, D. H., “A Requirement Analysis Method of Smart-Phone Users by Using Contents Analysis of SNS,” The Journal of Society for e-Business Studies, Vol. 17, No. 4, pp. 197-208, 2012.

Kim, Y. J., “Uses and Gratification of Cyworld, Facebook, Twitter : A Comparative Study,” Journal of Communication Science, Vol. 13, No. 1, pp. 5-32, 2013.

Lee, A. U. and Kang, Y. C., “Design of Social Network Service for Hypertension Management,” In Proceedings of Summer Conference on Korean Institute of Information Technology, pp. 561-564, 2011.

Lee, H. J., Choi, J., Kim, J. W., Park, S. J., and Gloor, P., “Communication, Opponents, and Clan Performance in Online Games : A Social Network Approach,” Cyberpsychology, Behavior, and Social Networking, Vol. 16, No. 12, pp. 878- 883, 2013.

Lee, J. W. and Lee, B. K., “Examination about the Television’s Role of Nutrition Education through Content Analysis of Nutrition-related Programs,” Korean Journal of Community Nutrition, Vol. 3, No. 4, pp. 642-654, 1998.

Lee, K. J., Kim, K. M., Lee, M. J., Kim, W. J., and Hong, J. S., “Post Clustering Method using Tag Hierarchy for Blog Search,” The Journal of Society for e- Business Studies, Vol. 16, No. 4, pp. 301-319, 2011.

Lee, Y. H., Kim, J. H., Kim, J. K., Min, K. P., Jung, E. Y., and Park, D. K., “Smart Phone based Personalized Menu Management System for Diabetes Patient,” The Journal of the Korea Contents Association, Vol. 10, No. 12, pp. 1-9, 2010.

Lee, Y. M. and Moon, S. J., “Communication Technology and Network Information in Food and Nutrition,” Journal of Nutrition and Health, Vol. 30, No. 7, pp. 870-878, 1997.

McKnight, W., “Building business intelligence : text data mining in business intelligence,” DM Review, pp. 21-22, 2005.

Oh, J. H., Kim, J. H., and Kim, J. W., “A Study on the Development of Realtime Online Marketing System Using Web Log Analytics,” The Journal of Society for e-Business Studies, Vol. 16, No. 3, pp. 249-261, 2011.

Simon, H. A., The sciences of the artificial, MIT press, 1996.

Stetina, B. U., Kothgassner, O. D., Lehenbauer, M. and Kryspin-Exner, I., “Beyond the fascination of online-games : Probing addictive behavior and depression in the world of online-gaming,” Computers in Human Behavior, Vol. 27, No. 1, pp. 473- 479, 2011.

Wigand, R. T., “20 Years of Research in Electronic Markets and Networked Business : An Interview with Thomas Malone,” Electronic Markets, Vol. 21, No. 1, pp. 5-17, 2011.

Witten, I. H. and Frank, E., Data Mining : Practical machine learning tools and techniques, Morgan Kaufmann, 2005.

Wu, S., Hofman, J. M., Mason, W. A., and Watts, D. J., “Who says what to whom on twitter,” In Proceedings of the 20th international conference on World wide web, pp. 705-714, 2011.


Refbacks

  • There are currently no refbacks.