Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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A Study on the design and implementation of Intelligent Advertisement Operation System based on User's Feedback in Mobile Environments

  • Lee, Yong-Ki (Dept. of Applied IT Technology, Hoseo University) ;
  • Moon, Nam-Mee (Dept. of Applied IT Technology, Hoseo University)
  • Received : 2015.06.17
  • Accepted : 2015.08.04
  • Published : 2015.08.31
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Abstract

In this paper, the design of intelligent_advertisement_operation system(IAdOS) based on user's feedback is proposed for mobile environments. The proposed system stores the advertising contents created by the advertising provider and recommends the personalized advertising contents by analyzing the context information, and then feedback information of the advertisements. Since the proposed system which can recommends provide the smart advertisement contents based on personal preference, it is expected to contribute the new service model development of in the field of advertising market.

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References

  1. J. Y. Kim, "(A)study on revitalization for domestic digital signage industry," Business Administration, MIS, Sungkyunkwan University, 2013.
  2. E. S. Lee and M. G. Park, "Design and Implementation of the Digital Signage System Enabled Customized Services using the SaaS Method," Journal of Korea Multimedia Society, Vol. 17, No. 3, pp. 363-372, March. 2014.
  3. Y. H. Kim, "A Study on the Implementation of Digital Signage System on Cloud computing-based," Journal of Digital Convergence, Vol. 10, No. 6, pp. 283-285, July. 2012. https://doi.org/10.14400/JDPM.2012.10.6.283
  4. J. H. Song, "A study of a personalized mobile advertising model with digital signages," Journal of Korea Society of Computer and Information, Vol. 20, No. 2, pp. 441-444, July. 2012.
  5. Gartner, "Mobile Advertising Bucks Ad Spending Trend," 2012.
  6. P. J. Moon, "The Comparison and Analysis of Mobile Advertising platform," Journal of Korea Institute of Electronic Communication Science, Vol. 7, No. 3, pp. 515-520, June. 2012. https://doi.org/10.13067/JKIECS.2012.7.3.515
  7. J. B. Ahn, "A Study on Service & Advertising Marketing Plan using LBS Smart Mobile Technology based on Delphi Reserach Method", The journal of the institute of Internet, Broadcasting and Communication, Vol. 13, No. 6, pp.281-288, 2013. https://doi.org/10.7236/JIIBC.2013.13.6.281
  8. C. G. Yang, U. B. Lee and Y, C. Huang, "The Effect of the Context Awareness Value on the Smartphone Adopter's Advertising Attitude," Journal of Intelligence of Information Systems, Vol. 19, No. 3, pp. 72-91, September. 2013.
  9. Y. I. Yoon and S. J. Lee, "A Study of Advertising Model based on Hybrid User Context in Smart Space," Journal of Korea Society of Computer and Information, Vol. 17, No. 2, pp. 187-195, February. 2012. https://doi.org/10.9708/jksci.2012.17.2.187
  10. S. H, Cho, S. H. Yi and S. B. Suh, "A Survey of User Targeted Advertising Technologies on the Mobile Device," Journal of The korea Institute of Information Scientists and Engineers, Vol. 39, No. 1, pp. 73-86, February. 2012.
  11. K. H. Ro, H. Y. Hwang and S. C. Kim, "A Resarch on Personalized Mobile Advertising Service using the Linkage between Digital Signage and Smartphones," The Journal of the institute of Internet, Broadcasting and Communication, Vol. 14, No. 1, pp. 139-146, February. 2014. https://doi.org/10.7236/JIIBC.2014.14.1.139
  12. M. Y. Park and H. C. Kwon, "Personalized Advertisement Service Model for Smartphone Users," Journal of The korea Institute of Information Scientists and Engineers, Vol. 39. No. 8, pp. 621-630, August. 2012.
  13. H. J. Kim, "Global Mobile Advertisement Service base on User Involvement," Trend Report(GeoSoft Company), 2013.
  14. H. K. Lee, C. I. Oh, K. S. Han, E, H. Hyun and Y. H. Jung, "Trend on Technologies of Smart Advertisement," 2014 Electronics and Telecommunications Trends(ETRI), Vol. 29, No. 3, pp. 1-10. June. 2014.
  15. J. S. Yoon, "A Study on the Effectiveness of Mobile Advertising : Based on Technology Acceptance Model," Journal of Korea Society of Computer and Information, Vol. 18, No. 12, pp. 139-147, December. 2013. https://doi.org/10.9708/JKSCI.2013.18.12.139
  16. B. Krulwich, "Lifestyle Finder : Intelligent User Profiling Using Large-Scale Demographic Data," Artificial Intelligent Magazine, Vol.18, No.2, pp.37-45, 1997.
  17. M. J. Pazzani, "A Framework for Collaborative, Content-Based and Demographic Filtering," Artificial Intelligent Review, pp.394-408, 1999.
  18. Balabanovic, Marko, and Yoav Shoham, "Fab: Content-based, Collaborative Recommendation," Communications of the ACM, Vol.40, No.3, pp.66-72, 1997. https://doi.org/10.1145/245108.245124
  19. Michael O Mahony, Neil Hurley, Nicholas Kushmerick, "Collaborative recommendation : A robustness analysis," ACM Transactions on Internet Technology, Vol.4, No.4, pp.344-377, 2004. https://doi.org/10.1145/1031114.1031116

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