Mining users` navigation patterns for building web pages recommendation system

Abstract

Due to the quick growth of the World Wide Web, retrieval of useful information from the Internet for a particular web user or a group of users becomes very difficult. Recommendation systems using web usage mining help providing an adaptive web environment for the web users. This paper presents a novel approach for page recommendation using fuzzy association rule mining algorithm. This method extracts previous users` access patterns and then employs them to recommend appropriate web pages for the active user. An illustrative example explains this method in details.