Analyzing intention in utterances
Readings in natural language processing
Acquisition of abstract plan descriptions for plan recognition
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Trawling the Web for emerging cyber-communities
WWW '99 Proceedings of the eighth international conference on World Wide Web
Security models for web-based applications
Communications of the ACM
Data Mining: Concepts, Models, Methods and Algorithms
Data Mining: Concepts, Models, Methods and Algorithms
Understanding and Extending Graphplan
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
An algorithm for analyzing personalized online commercial intention
Proceedings of the 2nd International Workshop on Data Mining and Audience Intelligence for Advertising
Plan recognition for interface agents
Artificial Intelligence Review
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Goal recognition through goal graph analysis
Journal of Artificial Intelligence Research
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
A probabilistic model of plan recognition
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
Challenges and issues of web intelligence research
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
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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.