Abstract
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. © 2007 by International Federation for Information Processing.
Cite
CITATION STYLE
Zhou, N., Chen, Y., & Zhang, H. (2007). Study on personalized recommendation model of internet advertisement. In IFIP Advances in Information and Communication Technology (Vol. 252 VOLUME 2, pp. 176–183). Springer New York LLC. https://doi.org/10.1007/978-0-387-75494-9_22
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