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
نوع سند: مقاله ژورنالی
زبان: English
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JR_JACR-4-2_002
تاریخ نمایه سازی: 16 شهریور 1395
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.
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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