Robust recognition of physical team behaviors using spatio-temporal models
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Unsupervised strategies for shilling detection and robust collaborative filtering
User Modeling and User-Adapted Interaction
TREET: the Trust and Reputation Experimentation and Evaluation Testbed
Electronic Commerce Research
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In multiagent scenarios, subsets of a population (coalitions) may attempt to cooperate, for mutual benefit. We present a technique for detecting the presence of coalitions (malicious or otherwise) and identifying their members, and demonstrate its effectiveness.