Several reliability-reputation models to support agents' decisions have been proposed in the past and many of them combine together reliability and reputation in a synthetic trust measure. In this context, we present a new trust model, called TRR, that considers, from a mathematical viewpoint, the interdependence between these two trust measures. This important feature of TRR is exploited to dynamically compute a parameter determining the importance of the reliability with respect to the reputation. Some experiments performed on the well-known ART platform show the advantages, in terms of effectiveness, introduced by the TRR approach.
How to Improve Group Homogeneity in Online Social Networks / DE MEO, P; Ferrara, E; Rosaci, D; Sarne', G. - 1099:(2013), pp. 73-77. (Intervento presentato al convegno 14th Workshop "From Objects to Agents", WOA 2013 - Co-located with the 13th Conference of the Italian Association for Artificial Intelligence, AI*IA 2013 tenutosi a Turin, ita nel 2013).
How to Improve Group Homogeneity in Online Social Networks
ROSACI D;SARNE' G
2013-01-01
Abstract
Several reliability-reputation models to support agents' decisions have been proposed in the past and many of them combine together reliability and reputation in a synthetic trust measure. In this context, we present a new trust model, called TRR, that considers, from a mathematical viewpoint, the interdependence between these two trust measures. This important feature of TRR is exploited to dynamically compute a parameter determining the importance of the reliability with respect to the reputation. Some experiments performed on the well-known ART platform show the advantages, in terms of effectiveness, introduced by the TRR approach.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
