Product recommendation for small-scale retailers

  • Marius Kaminskas
  • , Derek Bridge
  • , Franclin Foping
  • , Donogh Roche

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

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.

Original languageEnglish
Title of host publicationE-Commerce and Web Technologies - 16th International Conference on Electronic Commerce and Web Technologies, EC-Web 2015, Revised Selected Papers
EditorsDietmar Jannach, Heiner Stuckenschmidt
PublisherSpringer Verlag
Pages17-29
Number of pages13
ISBN (Print)9783319277288
DOIs
Publication statusPublished - 2015
Event16th International Conference on Electronic Commerce and Web Technologies, EC-Web 2015 - Valencia, Spain
Duration: 1 Sep 2015 → …

Publication series

NameLecture Notes in Business Information Processing
Volume239
ISSN (Print)1865-1348

Conference

Conference16th International Conference on Electronic Commerce and Web Technologies, EC-Web 2015
Country/TerritorySpain
CityValencia
Period1/09/15 → …

Keywords

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

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