Web personalisation with the cover coefficient algorithm

Authors:
Matthew Anderson;Irfan Altas;Geoff Fellows
Affiliations:
School of Information Studies, Charles Sturt University, Wagga Wagga, NSW, Australia;School of Information Studies, Charles Sturt University, Wagga Wagga, NSW, Australia;School of Information Studies, Charles Sturt University, Wagga Wagga, NSW, Australia
Venue:
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
Year:
2003

Citing 3
Cited 0

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Abstract

In this paper we discuss how to personalise web pages dynamically, based upon customer profiles generated from a click stream dataset using the cover coefficient algorithm. The personalisation model can be applied in an environment where there is a need to know the habits of customers that is beneficial to both the organisation and the web server administrator.