Abstract
In this article, We introduce a method of analysis of Web readability based on Self-Organizing Map (SOM). As readability, we focused only on number of characters and line-space, among the design-elements of Web contents. Then we consider a threshold of readability for the specific age groups using maps generated by SOM. The maps are available for improving readability and individual personal accessibility. We will implement a new web browsing system with an automatic text style changing for personal user's readability. Since user profiling data is required beforehand for every user, we solved this problem with SOM