Purchase Signatures of Retail Customers

Clément Gautrais 1, 2 René Quiniou 1 Peggy Cellier 3, 4 Thomas Guyet 1, 5 Alexandre Termier 1, 2
1 LACODAM - Large Scale Collaborative Data Mining
Inria Rennes – Bretagne Atlantique , IRISA_D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
4 LIS - Logical Information Systems
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : In the retail context, there is an increasing need for understanding individual customer behavior in order to personalize marketing actions. We propose the novel concept of customer signature, that identifies a set of important products that the customer refills regularly. Both the set of products and the refilling time periods give new insights on the customer behavior. Our approach is inspired by methods from the domain of sequence segmentation, thus benefiting from efficient exact and approximate algorithms. Experiments on a real massive retail dataset show the interest of the signatures for understanding individual customers.
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Communication dans un congrès
PAKDD 2017 - The Pacific-Asia Conference on Knowledge Discovery and Data Mining, May 2017, Jeju, South Korea. 2017, Pacific-Asia Conference on Knowledge Discovery and Data Mining
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Dernière modification le : mercredi 16 mai 2018 - 11:24:14
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Clément Gautrais, René Quiniou, Peggy Cellier, Thomas Guyet, Alexandre Termier. Purchase Signatures of Retail Customers. PAKDD 2017 - The Pacific-Asia Conference on Knowledge Discovery and Data Mining, May 2017, Jeju, South Korea. 2017, Pacific-Asia Conference on Knowledge Discovery and Data Mining. 〈hal-01639795〉

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