Mining users` navigation patterns for building web pages recommendation system
Publish place: Journal of Advances in Computer Research، Vol: 4، Issue: 2
Publish Year: 1392
Type: Journal paper
Language: English
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Document National Code:
JR_JACR-4-2_002
Index date: 6 September 2016
Mining users` navigation patterns for building web pages recommendation system abstract
Due to the quick growth of the World Wide Web, retrieval of useful informationfrom the Internet for a particular web user or a group of users becomes verydifficult. Recommendation systems using web usage mining help providing anadaptive web environment for the web users. This paper presents a novel approachfor page recommendation using fuzzy association rule mining algorithm. Thismethod extracts previous users` access patterns and then employs them torecommend appropriate web pages for the active user. An illustrative exampleexplains this method in details.
Mining users` navigation patterns for building web pages recommendation system Keywords:
Mining users` navigation patterns for building web pages recommendation system authors
Farzad Soleymani Sabzchi
Department of Computer Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran
Shahram Jamali
Computer Engineering Department, University of MohagheghArdabili, Ardabil, Iran
Maryam Jafari
Department of Computer Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran