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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Chodak, G., Suchacka, G. (2012). Cost-Oriented Recommendation Model for E-Commerce. In: Kwiecień, A., Gaj, P., Stera, P. (eds) Computer Networks. CN 2012. Communications in Computer and Information Science, vol 291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31217-5_44
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DOI: https://doi.org/10.1007/978-3-642-31217-5_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31216-8
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