Artificial intelligence of the market: how recommendation systems model and harness consumers

L’intelligence artificielle des marchés: comment les systèmes de recommandation modélisent et mobilisent les consommateurs

Jean-Sébastien Vayre () and Franck Cochoy ()
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Jean-Sébastien Vayre: IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]
Franck Cochoy: LISST - Laboratoire Interdisciplinaire Solidarités, Sociétés, Territoires - EHESS - École des hautes études en sciences sociales - UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse - ENSFEA - École Nationale Supérieure de Formation de l'Enseignement Agricole de Toulouse-Auzeville - CNRS - Centre National de la Recherche Scientifique - INP - PURPAN - Ecole d'Ingénieurs de Purpan - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse

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Abstract: This article discusses a particular consumer survey automation tool: recommender systems or agents. The study of this particular case provides a better understanding of how consumer survey automation tools have evolved over time and of the contemporary challenges associated with the unfolding innovations in this field. The article first shows that the current automation of consumer surveys is based on the advent of a new cognitive method based on capturing and exploiting consumer attention. It then presents the artificial intelligence techniques used to attract consumers. Finally, it examines the problems raised by these technologies and suggests some possible ways to overcome them.

Date: 2019
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Published in Les Études sociales, 2019, 1 (169), pp.177-201. ⟨10.3917/etsoc.169.0177⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03030579

DOI: 10.3917/etsoc.169.0177

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