DocumentCode :
2278349
Title :
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
Link To Document :
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