Web Usage Mining for Personalized Recommendation in E-Commerce

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 t...

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Bibliographic Details
Main Author:	Naderi, Mahdi
Format:	Thesis
Published:	2012
Subjects:	ZA3038-5190 Information resources (General)
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id	my-mmu-ep.3634
record_format	uketd_dc
spelling	my-mmu-ep.36342012-11-23T01:38:44Z Web Usage Mining for Personalized Recommendation in E-Commerce 2012-01 Naderi, Mahdi ZA3038-5190 Information resources (General) 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. 2012-01 Thesis http://shdl.mmu.edu.my/3634/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php masters Multimedia University Faculty of Information Technology
institution	Multimedia University
collection	MMU Institutional Repository
topic	ZA3038-5190 Information resources (General)
spellingShingle	ZA3038-5190 Information resources (General) Naderi, Mahdi Web Usage Mining for Personalized Recommendation in E-Commerce
description	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.
format	Thesis
qualification_level	Master's degree
author	Naderi, Mahdi
author_facet	Naderi, Mahdi
author_sort	Naderi, Mahdi
title	Web Usage Mining for Personalized Recommendation in E-Commerce
title_short	Web Usage Mining for Personalized Recommendation in E-Commerce
title_full	Web Usage Mining for Personalized Recommendation in E-Commerce
title_fullStr	Web Usage Mining for Personalized Recommendation in E-Commerce
title_full_unstemmed	Web Usage Mining for Personalized Recommendation in E-Commerce
title_sort	web usage mining for personalized recommendation in e-commerce
granting_institution	Multimedia University
granting_department	Faculty of Information Technology
publishDate	2012
_version_	1747829531319730176

Web Usage Mining for Personalized Recommendation in E-Commerce

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