Desarrollo de una aplicación interactiva de autenticación de usuarios y recomendación de contenidos de televisión digital basada en el middleware ginga

Abstract

The system proposed in this article aims to identify and recognize the users that are in front of a television with the objective of presents personalized programming. In this scenario, the authentication mechanism and recommendation mechanism should collect the necessary information as implicitly as possible, so the leisure and entertainment, which are objectives of a television environment are not interrupted. The architecture proposed for the implementation of the interactive application uses an authentication process based on facial recognition and a recommendation algorithm based on contextual information, which is obtained implicitly. The experimental results show that the system offers better recommendations when a user follows some pattern of program visualization.