Paper Title
A Novel Recommender System for Websites

Recommender systems identify recommendations autonomously for individual users based on past purchases, searches, and on users', or product similarities. Information is available on the internet in the different formats through large number of websites, people use internet information for their different purposes but it is very essential for every internet user to reach to the internet resources that satisfies his needs and accomplishes his tasks. This paper presents a novel hybrid recommender system that recommends a set of websites according to user profile and website content criteria to be attached to any internet browser. Index Terms - Recommender, recommendation system, user profile, browser, website.