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Personalized Online Marketing Using Facial And Emotion Recognition

Author

Listed:
  • Radu LIXĂNDROIU

    (Transilvania University of Brașov, Faculty of Economic Studies and Business Administration)

  • Cătălin MAICAN

    (Transilvania University of Brașov, Faculty of Economic Studies and Business Administration)

  • Gheorghe EPURAN

    (Transilvania University of Brașov, Faculty of Economic Studies and Business Administration)

  • Gabriel BRĂTUCU

    (Transilvania University of Brașov, Faculty of Economic Studies and Business Administration)

  • Lavinia DOVLEAC

    (Transilvania University of Brașov, Faculty of Economic Studies and Business Administration)

Abstract

Relying on the new technologies, marketers are more and more preoccupied in delivering a unique experience to the customers by using personalized dedicated ads campaigns, built on specific user’s profile. Based on facial recognition and emotions interpretation, specialists are able to identify a certain user and what kind of ads will he be interested in responding to. This way, the ads can be customized without any intervention from the user.

Suggested Citation

  • Radu LIXĂNDROIU & Cătălin MAICAN & Gheorghe EPURAN & Gabriel BRĂTUCU & Lavinia DOVLEAC, 2020. "Personalized Online Marketing Using Facial And Emotion Recognition," Journal of Smart Economic Growth, , vol. 5(2), pages 1-10, September.
    • Handle: RePEc:seg:012016:v:5:y:2020:i:2:p:1-10
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