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Cost-oriented recommendation model for e-commerce

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  • Chodak, Grzegorz
  • Suchacka, Grażyna

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.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 39542.

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Date of creation: Jun 2012
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Handle: RePEc:pra:mprapa:39542

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Keywords: recommendation method; recommender system; e-commerce; web store; cost;

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