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Cost-oriented recommendation model for e-commerce

Author

Listed:
  • 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.

Suggested Citation

  • Chodak, Grzegorz & Suchacka, Grażyna, 2012. "Cost-oriented recommendation model for e-commerce," MPRA Paper 39542, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:39542
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    File URL: https://mpra.ub.uni-muenchen.de/39542/1/MPRA_paper_39542.pdf
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    Citations

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    Cited by:

    1. Grzegorz, Chodak, 2016. "The Nuisance of Slow Moving Products in Electronic Commerce," MPRA Paper 69817, University Library of Munich, Germany.
    2. Amani, Farzaneh A. & Fadlalla, Adam M., 2017. "Data mining applications in accounting: A review of the literature and organizing framework," International Journal of Accounting Information Systems, Elsevier, vol. 24(C), pages 32-58.
    3. Grzegorz Chodak, 2020. "The problem of shelf-warmers in electronic commerce: a proposed solution," Information Systems and e-Business Management, Springer, vol. 18(2), pages 259-280, June.

    More about this item

    Keywords

    recommendation method; recommender system; e-commerce; web store; cost;
    All these keywords.

    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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