Supporting Customer Searches in E-marketplaces by Means of Fuzzy Logic-Based Machine Learning

Author

Albusac, J. ; Lopez-Lopez, L.M. ; Murillo, J.M. ; Castro-Schez, J.J.

Author_Institution

Escuela Super. de Inf., Univ. de Castilla-La Mancha, Ciudad Real

Volume

1

fYear

2008

fDate

9-12 Dec. 2008

Firstpage

892

Lastpage

896

Abstract

Machine learning algorithms can be used to discover patterns in data into e-commerce C2C portals and this knowledge can then be useful to help customers to refine their searches and to choose what to buy. In this work, it is proposed a new machine learning algorithm based on fuzzy logic. We describe the proposed algorithm for supporting customer searches in e-marketplaces and show the results obtained on simulated examples.

Keywords

data mining; electronic commerce; fuzzy logic; information retrieval; learning (artificial intelligence); portals; C2C portal; customer search support; data mining; e-commerce; e-marketplace; fuzzy logic; machine learning; pattern discovery; Electronic commerce; Fuzzy logic; Fuzzy systems; Intelligent agent; Learning systems; Machine learning; Machine learning algorithms; Marketing and sales; Portals; Uncertainty; C2C; decision support; e-Marketplace; e-commerce; fuzzy logic; machine learning; soft computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on

Conference_Location

Sydney, NSW

Print_ISBN

978-0-7695-3496-1

Type

conf

DOI

10.1109/WIIAT.2008.167

Filename

4740571