An Alternative Product Extraction Method for E-Commerce Applications
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Date
2007
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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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Keywords
[No Keyword Available], video shots; Mallows Distance, Ontology matching, Problem-Based learning; Virtual eBMS; unstructured learning; problem solving; action learning, -, [INFO] Computer Science [cs], mobile p2p; Manet; cross-layer design, INF
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Fields of Science
0106 biological sciences, 0211 other engineering and technologies, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, 0201 civil engineering, 03 medical and health sciences, 0508 media and communications, 0302 clinical medicine, 0103 physical sciences, 0502 economics and business, 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, 0101 mathematics, 0105 earth and related environmental sciences, 05 social sciences, 06 humanities and the arts, 0602 languages and literature, 0509 other social sciences, 0503 education
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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
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