A proposal for design personalization of WEB page

Abstract

Web personalization process viewed as an application of data mining requiring support for all the phases of a typical data mining cycle. These phases include data collection and preprocessing, pattern discovery and evaluation, and finally applying the discovered knowledge in real-time to mediate between the user and the Web. So the proposed system specially designed to availability for changing visual setting of sites from user and saving the changes (colors, fonts and positions of some parts of site). This setting different from user to another and the Site is always display automatically all information and links that the user need and likes. This can be done from studding the behavior of user through interval of time (like one week) and the site containing suitable design of database (expandable, can be used from more than one user at the same time and can be connect with it locally or remotely). So the required files are filtered in an efficient manner according to our algorithm, moreover from this algorithm we improve our system’s efficiency, frequency and memory.