Fuzzy logic based product filtering for web personalization in E-commerce

B. Hua; K.W. Wong; C.C. Fung

doi:10.1109/TENCON.2007.4429058

Back

Fuzzy logic based product filtering for web personalization in E-commerce

Conference paper

Open access

Fuzzy logic based product filtering for web personalization in E-commerce

B. Hua, K.W. Wong and C.C. Fung

IEEE

TENCON 2007 - 2007 IEEE Region 10 Conference (Taipei, 30/10/2007–02/11/2007)

2007

DOI: https://doi.org/10.1109/TENCON.2007.4429058

Files and links (2)

pdf

Published_Version.pdfDownload View

Published (Version of Record) Open Access

url

Link to Published Version *Subscription may be requiredView

Abstract

As Internet becomes popular, Web personalisation for E-commerce has gained much attention. The most important strategy of Web personalization is to provide the customers with appropriate information or services based on the knowledge about the customers' preferences. This paper proposes an alternate approach based on fuzzy logic for product filtering. Experiment results and simulation have shown that this is a viable approach.

Details

Title: Fuzzy logic based product filtering for web personalization in E-commerce
Authors/Creators: B. Hua (Author/Creator) - Murdoch University
K.W. Wong (Author/Creator) - Murdoch University
C.C. Fung (Author/Creator) - Murdoch University
Conference: TENCON 2007 - 2007 IEEE Region 10 Conference (Taipei, 30/10/2007–02/11/2007)
Publisher: IEEE
Identifiers: 991005542554107891
Murdoch Affiliation: School of Information Technology
Language: English
Resource Type: Conference paper
Note: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Metrics

581 File views/ downloads

96 Record Views