Customer Behaviour Analysis for Recommendation of Supermarket Ware - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

Customer Behaviour Analysis for Recommendation of Supermarket Ware

Stavros Anastasios Iakovou
  • Fonction : Auteur
  • PersonId : 1012024
Andreas Kanavos
  • Fonction : Auteur
  • PersonId : 992416
Athanasios Tsakalidis
  • Fonction : Auteur
  • PersonId : 992342

Résumé

In this paper, we present a prediction model based on the behaviour of each customer using data mining techniques. The proposed model utilizes a supermarket database and an additional database from Amazon Company, both containing information about customers’ purchases. Subsequently, our model analyzes these data in order to classify customers as well as products; whereas being trained and validated with real data. This model is targeted towards classifying customers according to their consuming behaviour and consequently propose new products more likely to be purchased by them. The corresponding prediction model is intended to be utilized as a tool for marketers so as to provide an analytically targeted and specified consumer behavior.
Fichier principal
Vignette du fichier
430537_1_En_41_Chapter.pdf (199.31 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01557637 , version 1 (06-07-2017)

Licence

Paternité

Identifiants

Citer

Stavros Anastasios Iakovou, Andreas Kanavos, Athanasios Tsakalidis. Customer Behaviour Analysis for Recommendation of Supermarket Ware. 12th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2016, Thessaloniki, Greece. pp.471-480, ⟨10.1007/978-3-319-44944-9_41⟩. ⟨hal-01557637⟩
187 Consultations
461 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More