Recommender Systems

The recommender systems are used by many e-commerces and companies that offer products as a service (i.e., streaming) to stimulate their clients consumption while maximizing their satisfaction. Most approaches result in a black box model that can be used solely for the recommendation purpose. This project aims at finding explicit mathematical expressions modeling the user behavior that can be used to explain every recommendation (to the user and to marketing purposes), recommend a set of unpopular products to the correct group of users and discover the characteristics of the most profitable products to guide the engineering of new products.

Graduate students: Cássia de Souza Carvalho

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