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Internet Advertisements Prediction

In: Liss 2014

Author

Listed:
  • Chao Jiang

    (York University)

  • Zijiang Yang

    (York University)

Abstract

Internet is a resourceful virtual world where a variety of information is open to public access, which expedites knowledge explosion. While the openness of internet facilitates knowledge learning, it also carries some information people do not need. For instance, advertisement on the internet is one of the side products that has increasingly become a concern in recent years. The identification of advertisement on the internet pages develops its necessity in the areas such as internet security, search engine, or even education. In this paper, as an attempt to differentiate advertisements, some approaches are examined to predict the advertisements on internet pages. As a matter of fact, some promising results are presented in this paper.

Suggested Citation

  • Chao Jiang & Zijiang Yang, 2015. "Internet Advertisements Prediction," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 409-414, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-43871-8_60
    DOI: 10.1007/978-3-662-43871-8_60
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    Cited by:

    1. Weipeng Tan & Tsung-Nan Chou, 2016. "Combined Grey Relational Analysis and Weighted Synthesis for Housing Price Prediction," International Journal of Business and Administrative Studies, Professor Dr. Bahaudin G. Mujtaba, vol. 2(3), pages 81-88.

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