An alternative product extraction method for E-commerce applications
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. © 2007 IEEE.
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Source
Proceedings - International Workshop on Database and Expert Systems Applications, DEXA -- DEXA 2007 18th International Workshop on Database and Expert Systems Applications -- 3 September 2007 through 7 September 2007 -- Regensburg -- 72748
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Start Page
397
End Page
401