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We describe here a system oriented towards personalized selection and delivery of heterogeneous multimedia content. It is designed to go along with the user during the whole day seamlessly and provide on demand delivery of relevant multi-modal content, stemming from diverse sources. A set of specially designed recommendation engines provides personalization adapted to the instantaneous context of the user. We describe the overall architecture and usability principles of the system, and subsequently we focus in detail on some of its subsystems.
Spedalieri et al. (Fri,) studied this question.