Web Content Management System (WCMS) has been developed to facilitate different aspects of website development. However, up until now, designing of web pages is accomplished by the website developers. Even though WCMS might suggest a number of templates, but it does not consider the nature of the website that will be developed. Many designers have complained about designing the right structure, and different users have complained about poor website structure. Thus, this manuscript will present a new approach that extracts personalized templates by applying web personalization in order to facilitate WCMS and increase its scalability and flexibility. In specific, a new technique that mixes hybrid Evolutionary Algorithm (Genetic Algorithm and Ant Colony Clustering) with Cluster Tree Matching is developed. Moreover, an experiment has been conducted to prove the quality of the proposed approach, which confirmed the good quality of the algorithm concerning speed, precision, and accuracy. Key words: Web personalization, Web Content Management System, group profiling, evolutionary algorithm, document object model.