Title
A personalized recommender system for pervasive social networks.
Abstract
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 always connected for sharing experiences and conducting their social interactions with friends and acquaintances, through so-called Mobile Social Networks, further improving their social inclusion. On the other hand, the pervasiveness of communication infrastructures spreading data (cellular networks, direct device-to-device contacts, interactions with ambient devices as in the Internet-of-Things) makes compulsory the deployment of solutions able to filter off undesired information and to select what content should be addressed to which users, for both (i) better user experience, and (ii) resource saving of both devices and network.
Year
DOI
Venue
2017
10.1016/j.pmcj.2016.08.010
Pervasive and Mobile Computing
Keywords
Field
DocType
Pervasive content sharing,Mobile social networks,Opportunistic networks,Personalized recommender systems
Recommender system,User experience design,World Wide Web,Software deployment,Social network,Computer science,Computer network,Exploit,Social exclusion,Human–computer interaction,Cellular network
Journal
Volume
ISSN
Citations 
36
1574-1192
6
PageRank 
References 
Authors
0.47
20
4
Name
Order
Citations
PageRank
Valerio Arnaboldi124011.51
Mattia Giovanni Campana2132.64
Franca Delmastro321119.88
Elena Pagani431562.10