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

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

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.

Suggested Citation

  • Micu, Adrian & Capatina, Alexandru & Cristea, Dragos Sebastian & Munteanu, Dan & Micu, Angela-Eliza & Sarpe, Daniela Ancuta, 2022. "Assessing an on-site customer profiling and hyper-personalization system prototype based on a deep learning approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    • Handle: RePEc:eee:tefoso:v:174:y:2022:i:c:s004016252100723x
    DOI: 10.1016/j.techfore.2021.121289
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