An alternative product extraction method for E-commerce applications

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2007

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Information Systems Engineering
Information Systems is an academic and professional discipline which follows data collection, utilization, storage, distribution, processing and management processes and modern technologies used in this field. Our department implements a pioneering and innovative education program that aims to raise the manpower, able to meet the changing and developing needs and expectations of our country and the world. Our courses on current information technologies especially stand out.

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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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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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397

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401

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