Mining users` navigation patterns for building web pages recommendation system

Journal of Advances in Computer Research

شناسنامه علمی شماره، دوره 4، شماره 2، مرداد 2013، صفحه 15-24   

نویسندگان

Farzad Soleymani Sabzchi^{* 1}؛ Shahram Jamali²؛ Maryam Jafari¹

¹Department of Computer Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran

²Computer Engineering Department, University of MohagheghArdabili, Ardabil, Iran

چکیده

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.

کلیدواژه‌ها

Web recommender؛ Web usage mining؛ Fuzzy association rule mining؛ Pattern discovery