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2013-06-04 - Colloque/Article dans les actes avec comité de lecture - Anglais - 7 page(s)

Vandenbulcke Virginie, Lecron Fabian , Ducarroz Caroline, Fouss François, "Customer segmentation based on a collaborative recommendation system: Application to a mass retail company" in 42nd Annual Conference of the European Marketing Academy, Istanbul, Turkey, 2013

  • Codes CREF : Marketing et publicité (DI4365)
  • Unités de recherche UMONS : Informatique (F114)
  • Instituts UMONS : Institut de Recherche en Technologies de l’Information et Sciences de l’Informatique (InforTech)
Texte intégral :

Abstract(s) :

(Anglais) Identifying customer segments has been arousing interest in the literature for decades, for various reasons. This paper introduces a different way of segmenting customers in the retail sector based on shopping behaviors: unlike traditional criteria, our segmentation criterion lies on items that we recommend shoppers to buy in the future, these recommendations being defined on what other shoppers, who act similarly in terms of shopping basket, buy. Our approach is thus made of two steps: first, products to be recommended to each specific customer are determined and second, customers are segmented following these recommendations. A first analysis on real data has been performed and preliminary results are shown in this paper. A possible application lies in the area of targeted promotional material, for example advertising folders or brochures adapted for each segment.


Mots-clés :
  • (Anglais) Recommender system
  • (Anglais) Customer segmentation
  • (Anglais) Targeted communication
  • (Anglais) Retailing