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Personalized Web Recommendation Combining User-centered Collaborative Technique with URL Weighting

International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 63 - Number 2
Year of Publication: 2013
Delwar Hossain Arif
A H M Sofi Ullah
K M Habibullah
Md Ali Al Mamun

Delwar Hossain Arif, Sofi A H M Ullah, K M Habibullah and Md Ali Al Mamun. Article: Personalized Web Recommendation Combining User-centered Collaborative Technique with URL Weighting. International Journal of Computer Applications 63(2):13-18, February 2013. Full text available. BibTeX

	author = {Delwar Hossain Arif and A H M Sofi Ullah and K M Habibullah and Md Ali Al Mamun},
	title = {Article: Personalized Web Recommendation Combining User-centered Collaborative Technique with URL Weighting},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {63},
	number = {2},
	pages = {13-18},
	month = {February},
	note = {Full text available}


Web usage mining has become very popular in various business areas for learning more about the users' browsing behavior and recommending the perfect product in which the user is interested in. At present there are many systems that recommend for the users on web usage mining, but most of the systems suffer from inappropriate scalability, which would lead to very weak recommendations. In this paper we proposed a new technique that gives emphasis on page view weighting based on transaction timing and building a session pattern graph for each session. This technique provides the scope for better scalability and also provides effective number of recommendations with remarkable accuracy.


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