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Product Recommendation for Small-Scale Retailers

  • Marius Kaminskas
  • Derek BridgeEmail author
  • Franclin Foping
  • Donogh Roche
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 239)

Abstract

Product recommendation in e-commerce is a widely applied technique which has been shown to bring benefits in both product sales and customer satisfaction. In this work we address a particular product recommendation setting — small-scale retail websites where the small amount of returning customers makes traditional user-centric personalization techniques inapplicable. We apply an item-centric product recommendation strategy which combines two well-known methods – association rules and text-based similarity – and demonstrate the effectiveness of the approach through two evaluation studies with real customer data.

Keywords

Product recommendation Online shopping Association rules Text-based similarity Hybrid approach User study 

Notes

Acknowledgements

This research has been conducted with the financial support of Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Marius Kaminskas
    • 1
  • Derek Bridge
    • 1
    Email author
  • Franclin Foping
    • 2
  • Donogh Roche
    • 2
  1. 1.Insight Centre for Data AnalyticsUniversity College CorkCorkIreland
  2. 2.NitroSell Ltd.CorkIreland

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