Web usage mining to improve the design of an e-commerce website: OrOliveSur.com

Authors:
C. J. Carmona;S. Ramírez-Gallego;F. Torres;E. Bernal;M. J. del Jesus;S. García
Affiliations:
Department of Computer Science, University of Jaén, 23071 Jaén, Spain;Department of Computer Science, University of Jaén, 23071 Jaén, Spain;Department of Marketing, University of Jaén, 23071 Jaén, Spain;Department of Economics, University of Jaén, 23071 Jaén, Spain;Department of Computer Science, University of Jaén, 23071 Jaén, Spain;Department of Computer Science, University of Jaén, 23071 Jaén, Spain
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

Web usage mining is the process of extracting useful information from users history databases associated to an e-commerce website. The extraction is usually performed by data mining techniques applied on server log data or data obtained from specific tools such as Google Analytics. This paper presents the methodology used in an e-commerce website of extra virgin olive oil sale called www.OrOliveSur.com. We will describe the set of phases carried out including data collection, data preprocessing, extraction and analysis of knowledge. The knowledge is extracted using unsupervised and supervised data mining algorithms through descriptive tasks such as clustering, association and subgroup discovery; applying classical and recent approaches. The results obtained will be discussed especially for the interests of the designer team of the website, providing some guidelines for improving its usability and user satisfaction.