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. © 2012 Springer-Verlag.
CITATION STYLE
Chodak, G., & Suchacka, G. (2012). Cost-oriented recommendation model for e-commerce. In Communications in Computer and Information Science (Vol. 291 CCIS, pp. 421–429). https://doi.org/10.1007/978-3-642-31217-5_44
Mendeley helps you to discover research relevant for your work.