PERSONALIZED ONLINE MARKETING USING FACIAL AND EMOTION RECOGNITION

Radu Lixăndroiu (), Cătălin Maican (), Gheorghe Epuran, Gabriel Brătucu () and Lavinia Dovleac ()
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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

Journal of Smart Economic Growth, 2020, vol. 5, issue 2, 1-10

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.

Keywords: online marketing; personalized marketing; facial recognition; emotions recognition. (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:seg:012016:v:5:y:2020:i:2:p:1-10

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