Mining users` navigation patterns for building web pages recommendation system

Publish Year: 1392
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

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.

Keywords:

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

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