Study on Personalized Recommendation Model of Internet Advertisement

  • Ning Zhou
  • Yongyue Chen
  • Huiping Zhang
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 252)


With the rapid development of E-Commerce, the audiences put forward higher requirements on personalized Internet advertisement than before. The main function of Personalized Advertising System is to provide the most suitable advertisements for anonymous users on Web sites. The paper offers a personalized Internet advertisement recommendation model. By mining the audiences’ historical and current behavior, and the advertisers’ and publisher’s web site content, etc, the system can recommend appropriate advertisements to corresponding audiences.


Current Behavior Usage Mining Anonymous User Recommendation Model Internet Advertisement 
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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Copyright information

© IFIP International Federation for Information Processing 2007

Authors and Affiliations

  • Ning Zhou
    • 1
  • Yongyue Chen
    • 1
  • Huiping Zhang
    • 1
  1. 1.Center for Studies of Information ResourcesWuhan UniversityWuhanChina

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