Assessing an on-site customer profiling and hyper-personalization system prototype based on a deep learning approach

Adrian Micu, Alexandru Capatina, Dragos Sebastian Cristea, Dan Munteanu, Angela-Eliza Micu and Daniela Ancuta Sarpe

Technological Forecasting and Social Change, 2022, vol. 174, issue C

Abstract: The development of artificial intelligence (AI) technologies is proceeding fast across many fields. Based on a deep learning approach, we propose a prototype of an on-site customer profiling and hyper-personalization system (OSCPHPS) targeted at marketing professionals.

Keywords: Artificial intelligence; Deep learning; Computer vision; Hyper-personalization; Facial recognition (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:174:y:2022:i:c:s004016252100723x

DOI: 10.1016/j.techfore.2021.121289

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