Web Usage Mining for Personalized Recommendation in E-Commerce

Naderi, Mahdi (2012) Web Usage Mining for Personalized Recommendation in E-Commerce. Masters thesis, Multimedia University.

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Abstract

In this paper,a system of personalized recommendations through hybrid collaborative filtering based on users (CFU) and items (CFI) according to web usage mining is put forward. This paper also describes the process of data preparation in details. The result depicts that the new model offered which takes into consideration the feature of user information and categories of items is helpful and the performance of recommendations can be enhanced using it and also for E-shopping which has huge data and transaction the performance,efficiently and accuracy of result is on high quality.

Item Type: Thesis (Masters)
Subjects: Z Bibliography. Library Science. Information Resources > ZA3038-5190 Information resources (General)
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Users 1102 not found.
Date Deposited: 23 Nov 2012 01:38
Last Modified: 23 Nov 2012 01:38
URI: http://shdl.mmu.edu.my/id/eprint/3634

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