Yolanda Blanco-Fernández

TL;DR: ATLAS is introduced, a framework for the development and deployment of multiuser t-learning services (i.e. learning services over Interactive Digital TV) that adheres to the Multimedia Home Platform (MHP) standard, which is gaining worldwide acceptance as one of the technical solutions that will shape the future of Interactive DigitalTV.

TL;DR: Simulation results show that the combination of VTLs and platoons can achieve significant reductions in travel times and fuel consumption, provided that proper algorithms are used to handle the V2V communications.

TL;DR: A user-centred model whose goal is not to infer the aforementioned interaction network, but to build users' social spheres is introduced, assessing the strength and the context of the user's ties by using signs of interaction available from social sites APIs with user's permission.

TL;DR: AVATAR is presented, a recommender of personalized TV contents, for which an open multi-agent architecture is proposed, and this tool uses different knowledge inference strategies, even though it focuses on the description of one of them, the naive Bayesian classifiers.

TL;DR: The architecture and the main procedures of the proposal are presented, along with the results of simulations of the VCC service model known as Network as a Service (NaaS), which can be made responsible for computing, sensing, storage and communication tasks.