The World Wide Web is an interactive and famous platform to exchange information. Web Usage Mining is the kind of web mining and it is application of data mining techniques. Web Usage Mining has become useful for website management, personalization etc. Usage data internment is the origin of web users along with their browsing behavior at a website. There is a concern that how to give web users with the more precise and precisely required data. Web mining addresses this critical problem in web applications by extricating such interesting pattern or knowledge from web data. In this paper, we propose a new methodology for web page recommendation along with user profile generation. The approach makes utilization of evolutionary classification procedure for web page recommendation.
Volume 11 | 06-Special Issue
Pages: 351-364