An integrated framework for the design of optimal web banners
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Doi:10.1007/s11066-009-9046-1
Abstract
In this paper, we present an integrated framework for the optimization of Internet banner advertising. The framework consists of three parts: statistical predictive modeling on web data, optimization through mixed integer programming, and the use of information repository technology. The integrated, quantitative approach allows for the automatic improvement of banner advertising strategies and nonintrusive personalized advertising at a variety of banner display levels.
Suggested Citation
Anna Nagurney, Lili Hai, and Lan Zhang. "An integrated framework for the design of optimal web banners" Netnomics 11.1 (2008): 69-83.
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