Séminaire (Organisé par l’Equipe de recherche DI)



Principled Approaches for Preference Elicitation

Mercredi 28 janvier 2015 à 14h00 en salle A108

Résumé :

Many applications, such as decision support systems and recommender systems, need to reason about the user’s preferences. However, acquiring the preferences of the user is a challenging task for a number of reasons. First, elicitation of user preferences is usually expensive (w.r.t. time, cognitive effort, etc.). Second, many decision problems have large outcome or decision spaces. Third, users are inherently "noisy" and inconsistent.

Since classical elicitation paradigm from decision theory are impractical for modern software applications, a number of approaches for effectively eliciting preferences have been recently proposed in the artificial intelligence and machine learning community. This talk will review the most prominent techniques for preference elicitation (also called preference learning in the machine learning community). We will put a particular emphasis on interactive methods that aim at asking the most informative questions in order to make good (or even optimal) recommendations with sparse knowledge of the user’s utility function.

Finally, we will discuss the particular issues related to the elicitation of an utility function based on the Choquet integral.


FR SHIC 3272

Collegium UTC/CNRS