Mining users` navigation patterns for building web pages recommendation system
الموضوعات :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
الکلمات المفتاحية: Web recommender, Web usage mining, Fuzzy association rule mining, Pattern discovery,
ملخص المقالة :
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.
