Cost-oriented recommendation model for e-commerce

Grzegorz Chodak () and Grażyna Suchacka

MPRA Paper from University Library of Munich, Germany

Abstract: Contemporary Web stores offer a wide range of products to e-customers. However, online sales are strongly dominated by a limited number of bestsellers whereas other, less popular or niche products are stored in inventory for a long time. Thus, they contribute to the problem of frozen capital and high inventory costs. To cope with this problem, we propose using information on product cost in a recommender system for a Web store. We discuss the proposed recommendation model, in which two criteria have been included: a predicted degree of meeting customer’s needs by a product and the product cost.

Keywords: recommendation method; recommender system; e-commerce; web store; cost (search for similar items in EconPapers)
JEL-codes: L81 L86 (search for similar items in EconPapers)
Date: 2012-06
New Economics Papers: this item is included in nep-ict
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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