Abstract
Webpage optimization is an experimental method to make continuous improvements on websites based on users' behavior. This method can be implemented easily but has a drawback that small websites take long time to gather enough data to evaluate the ideas. Although many optimization methods are proposed and conducted so far, there's no mathematical model of this problem. We propose Webpage Optimization Problem and organize existing webpage optimization methods. Combining these methods, we also propose a new webpage optimization method that performs well no matter how many people get to the website. We evaluate the proposal method by simulation experiments and introducing the optimization program to both large and small websites. The results show that our proposal method outperforms existing methods at any size of websites. Webpage Optimization Problem is a framework to create new webpage optimization methods.
