AC/DC: Accurate Customer Identification on Digital Channels

• Unité de recherche: INNOSUISSE
• Numéro de projet: 25206.1 PFES-ES
• Titre du projet anglais: AC/DC: Accurate Customer Identification on Digital Channels

Description succincte (Allemand)

AC/DC: Accurate Customer Identification on Digital Channels

Description succincte (Anglais)

AC/DC: Accurate Customer Identification on Digital Channels

Résumé des résultats (Abstract) (Allemand)

We develop an advanced analytics foundation based on Qumram#s data and ultimately create two directly sellable products on top of this foundation to identify individual users on the digital channels with high accuracy, based on their recorded online behavior using machine learning and anomaly detection. We also perform an automated risk class scoring for identified users based on their online behavior.

Résumé des résultats (Abstract) (Anglais)