Annonce en lien avec l’Action/le Réseau : PLATFORM
Laboratoire/Entreprise : LIG
Durée : 1-2 ans
Contact : sihem.amer-yahia@univ-grenoble-alpes.fr
Date limite de publication : 2020-03-31
Contexte :
AI, and in particular Data Mining and Recommendation, offers the ability to observe the behavior of millions of customers and predict their future choices. While consumer choices in classical theory are based solely on preferences and on price, Behavioral Economics and in particular the study of Learning in Economics, have established that consumer behavior is largely dictated by contexts and evolves over time. Decisions are guided by heuristics influenced by psychological, emotional, cultural and social factors.
Sujet :
The purpose of this post-doc is to coordinate user studies on the topic of impact of product and information ads on people.
Real-life deployment will be explored in online platforms such as Facebook Ads and Amazon Mechanical Turk, and with real customers through bucket testing with our industrial partners. Deployment raises challenges such as designing data-driven sampling strategies and developing incentive schemes for customers. It also opens unique opportunities in Behavioral Economics and Econometrics for studying product stickiness over time (behavioral inertia) and the effect of pricing on customers. This will tighten the gap between simulations and reality.
Profil du candidat :
The candidate must have experience with two out of the three topics below:
– Deployment of user studies
– Recommendation algorithms
– Online Advertising
Formation et compétences requises :
– Computer science: algorithms, plugins
– Economics: behavioral/experimental
Adresse d’emploi :
Laboratoire d’Informatique de Grenoble