Product Recommendation for E-Groceries Using Apriori Algorithm

Muziah, Muhammad (2004) Product Recommendation for E-Groceries Using Apriori Algorithm. Masters thesis, Universiti Utara Malaysia.

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Abstract

The emergence of Internet allows many possibilities; one of them is electronic groceries. Indirect marketing is one aspect that contributes to the business profit. Basically, conventional grocer will utilize physical layout and possible buying sequence using product display. In e-groceries, such idea can be implemented using product recommendation basic. This paper will discuss briefly the design and the development of E-Groceries for such purpose.

Item Type:	Thesis (Masters)
Supervisor :	UNSPECIFIED
Item ID:	1357
Uncontrolled Keywords:	Electronic Commerce, Electronic Groceries, Product Recommendation, System Design
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	Faculty and School System > Sekolah Siswazah
Date Deposited:	16 Feb 2010 02:11
Last Modified:	24 Jul 2013 12:11
Department:	Graduate School
URI:	https://etd.uum.edu.my/id/eprint/1357

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