Dynamic modeling by usage data for personalization systems

Aghabozorgi, S.R. and Teh, Y.W. (2009) Dynamic modeling by usage data for personalization systems. In: 13th International Conference Information Visualisation, 15-17 July 2009, Barcelona, Spain.

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With the extensive growth of data available on the Internet, personalization of this huge information becomes essential. Although, there are various techniques of personalization, in this paper we concentrate on using data mining algorithms to personalize web sites' usage data. This paper proposes an off-line model based web usage mining that is generated by clustering algorithm. Then, we will use users' transactions periodically to change the off-line model to a dynamic-model. This proposed approach will solve the problem of the decrease of accuracy in the off-line models over time resulted of new users joining or changes of behaviour for existing users in model-based approaches. Finally, we discuss the on-line model for user behaviour prediction in the web personalization system.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Computer Science & Information Technology > Department of Information Science
Depositing User: Mr. Mohd Samsul Ismail
Date Deposited: 18 Dec 2014 00:41
Last Modified: 18 Dec 2014 00:41
URI: http://eprints.um.edu.my/id/eprint/11185

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