Experiential Adaptation to Provide User-Centered Web Content Personalization

Personalization of pages on the basis of each specific users' need is a key factor in navigating the Web, in particular for those users who browse under specific conditions. This paper proposes to track user's behavior and to gain his/her effective needs by means of machine learning concepts. Our goal is to provide a system which improves Web legibility and readability, customizing typographic characteristics of pages. The system lets users adapt Web pages and learns how to apply automatic personalization. This can be of great benefit both for users with reading-related disabilities and for users accessing with non-conventional devices.