mining users` navigation patterns for building web pages recommendation system

نویسندگان

farzad soleymani sabzchi

shahram jamali

maryam jafari

چکیده

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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عنوان ژورنال:
journal of advances in computer research

ناشر: sari branch, islamic azad university

ISSN 2345-606X

دوره 4

شماره 2 2013

میزبانی شده توسط پلتفرم ابری doprax.com

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