Title
Intelligent social networks
Abstract
Personal homepages, blogs or virtual communities have contributed to the birth of the Social Networks. The success of these platforms will continue to increase while they are able to offer tools and services to improve users' social relationships. The rapid evolution of social networks, the growing business opportunities and the possibility to apply new techniques to a relatively unexplored domain, have awakened strong interest among researchers. The potential benefits have generated the need to be the first one to achieve an enough level of autonomy to provide customized services for both users and product providers. But the true revolution will arrive when social networks become "smart". To build these new intelligent systems we propose to use Artificial Intelligence techniques, more concretely plan recognition. In this paper we propose an architecture able to recognize the users intentions from partial observations of their actions. In addition, we present three scenarios where our system can be useful: Online commercial intentions, adaptive user interfaces and identity theft and extortion detection.
Year
DOI
Keywords
2011
10.1145/1988688.1988768
social network,online commercial intention,artificial intelligence technique,adaptive user interface,social relationship,social networks,new intelligent system,business opportunity,users intention,intelligent social network,new technique,artificial intelligent,identity theft
Field
DocType
Citations 
Extortion,Data mining,Architecture,World Wide Web,Social network,Intelligent decision support system,Computer science,Identity theft,Autonomy,Plan recognition,User interface
Conference
1
PageRank 
References 
Authors
0.41
15
5
Name
Order
Citations
PageRank
Miguel110.41
Angel Moreno210.41
Pablo Muñoz3101.99
Daniel Díaz4434.19
María Dolores Rodríguez-Moreno55211.65