Product Recommendation for Small-Scale Retailers
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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 studyNotes
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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