Mining users` navigation patterns for building web pages recommendation system

Subject Areas : B. Computer Systems Organization

Farzad Soleymani Sabzchi ¹ , Shahram Jamali ² , Maryam Jafari ³

1 - Department of Computer Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran
2 - Computer Engineering Department, University of MohagheghArdabili, Ardabil, Iran
3 - Department of Computer Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran

Received: 2013-09-09 Accepted : 2013-09-09 Published : 2013-05-01

Keywords: Web recommender, Web usage mining, Fuzzy association rule mining, Pattern discovery,

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.