Title :
An Alternative Product Extraction Method for E-Commerce Applications
Author_Institution :
Atilim Univ., Ankara
Abstract :
Customers generally like to see alternative products and compare their characteristics and prices before deciding on one of them. Therefore, proposing alternative products is one of the crucial issues for e-commerce applications to increase customer satisfaction. This paper proposes a fuzzy similarity-based approach to determine similar products recorded in a database and submit them intelligently to the customer in a ranked way as alternative products.
Keywords :
customer satisfaction; database management systems; electronic commerce; fuzzy set theory; alternative product extraction; customer satisfaction; database; e-commerce; fuzzy similarity-based approach; Application software; Consumer electronics; Customer satisfaction; Data engineering; Data mining; Deductive databases; Expert systems; Fuzzy set theory; Internet; Portals;
Conference_Titel :
Database and Expert Systems Applications, 2007. DEXA '07. 18th International Workshop on
Conference_Location :
Regensburg
Print_ISBN :
978-0-7695-2932-5
DOI :
10.1109/DEXA.2007.48
