Risultati di ricerca

con K2 Items e Tipo , e con Elenco Pubblicazioni - Publications e K2 Category , e con MATTIA GIOVANNI CAMPANA e Author sono stati trovati i seguenti risultati:

V. Arnaboldi, M. G. Campana, F. Delmastro, "Context-Aware Configuration and Management of WiFi Direct Groups for Real Opportunistic Networks", IEEE MASS 2017, Orlando, Florida, USA, October 22-25, 2017
Wi-Fi Direct is a promising technology for the support of device-to-device communications (D2D) on commercial mobile devices. However, the standard as-it-is is not sufficient to support the real deployment of networking solutions entirely based on D2D...
http://phd.dii.unipi.it/pubblicazioni/item/1659-campana_wifidirect.html
M. G. Campana, F. Delmastro, R. Bruno, "A Machine-Learned Ranking Algorithm for Dynamic and Personalised Car Pooling Services", IEEE ITSC 2016, Rio de Janeiro, Brazil, November 1-4, 2016
Car pooling is expected to significantly help in reducing traffic congestion and pollution in cities by enabling drivers to share their cars with travellers with similar itineraries and time schedules. A number of car pooling matching services have...
http://phd.dii.unipi.it/pubblicazioni/item/1235-campana_gotogether.html
V. Arnaboldi, M. G. Campana, F. Delmastro, E. Pagani, "A personalized recommender system for pervasive social networks", Pervasive and Mobile Computing, 2016
The current availability of interconnected portable devices, and the advent of the Web 2.0, raise the problem of supporting anywhere and anytime access to a huge amount of content, generated and shared by mobile users. On the one hand, users tend to be...
http://phd.dii.unipi.it/pubblicazioni/item/1070-campana_p-pliers.html
V. Arnaboldi, M. G. Campana, F. Delmastro, E. Pagani, "PLIERS: a popularity-based recommender system for content dissemination in online social networks", ACM SAC 2016, Pisa, IT, April 4-8, 2016
Online social networks (OSNs) allow users to generate items and tag or rate them in order to help others in the identification of useful content. In this paper, we propose a novel tag-based recommender system called PLIERS, able to identify useful...
http://phd.dii.unipi.it/pubblicazioni/item/1069-campana_pliers.html

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