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Increasing Broadband Subscriptions for Telecom Carriers through Mobile Advertising

  • Chia-Hui Chang
  • Kaun-Hua Huo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7097)

Abstract

Mobile devices are popular. However, mobile broadband subscriptions are 20 percent of the mobile subscriptions, due to the high payments requirement for broadband subscriptions. On the other hand, US mobile ad spend will exceed US$1 billion in 2011 according to emarketer.com. Therefore, to increase broadband subscribers by providing free or discounted fees through the deployment of mobile advertising framework by the telecommunication system is important. Telecommunication runs ads agent platform to attract investments from advertisers. Subscribers read promotional advertisements to get discounted payment. While the advertisers pay a reasonable price for advertising, the possible commercial activities will bring revenues. As a result, this framework is a triple-win for telecommunication, advertisers and subscribers. We describe a framework for delivering appropriate ads of the ideal time at the ideal place to the ideal subscriber is the three key issues on how/when to show the ads and what potential ads clicked by subscribers.

Keywords

User Query Postal Address Mobile Broadband Online Advertisement Mobile Subscription 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Fan, T.-K., Chang, C.-H.: Blogger-Centric Contextual Advertising. Journal of Expert Systems With Applications 38(3), 1777–1788 (2011)CrossRefGoogle Scholar
  2. 2.
    Feng, J., Bhargava, H.K., Pennock, D.: Comparison of Allocation Rules for Paid Placement Advertising in Search Engine. In: Proceedings of the 5th International conference on Electronic Commerce, ACM EC 2003, pp. 294–299. ACM, Pittsburgh (2003)Google Scholar
  3. 3.
    Giuffrida, G., Sismeiro, C., Tribulato, G.: Automatic content targeting on mobile phones. In: EDBT 2008 (2008)Google Scholar
  4. 4.
    Penev, A., Wong, R.K.: Framework for Timely and Accurate Ads on Mobile Devices. In: CIKM, Hong Kong, November 2-6 (2009)Google Scholar
  5. 5.
    Rao, B., Minakakis, L.: Evolution of Mobile Location-based Services. Communications Of The ACM (2003)Google Scholar
  6. 6.
    Ribeiro-Neto, B., Cristo, M., Golgher, P.B., de Moura, E.S.: Impedance coupling in content-targeted advertising. In: ACM SIGIR 2005, pp. 496–503 (2005)Google Scholar
  7. 7.
    Turban, E., Lee, N., King, D., Chung, H.M.: Electronic Commerce Managerial Perspective. Prentice Hall (2000)Google Scholar
  8. 8.
    Varshney, U., Vetter, R.: Mobile Commerce: Framework, Applications and Networking Support. Mobile Networks and Applications (2002)Google Scholar
  9. 9.
    Xu, D.J., Liao, S.S., Li, Q.: Combining empirical experimentation and modeling techniques: A design research approach for personalized mobile advertising applications. Decision Support Systems 44 (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Chia-Hui Chang
    • 1
  • Kaun-Hua Huo
    • 1
  1. 1.Dept. of Computer Science and Information EngineeringNational Central UniversityTaoyuanTaiwan

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