We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
The standard, ad-hoc stopping criteria used in decision tree-based context clustering are known to be sub-optimal and require parameters to be tuned. This paper proposes a new app...
Studieson the adoptionof business-to-consumere-commerce have not simultaneouslyconsideredtrust and risk as important determinants of adoption behavior. Further, trust in informati...
Trust learning is a crucial aspect of information exchange, negotiation, and any other kind of social interaction among autonomous agents in open systems. But most current probabil...
—Handheld devices have become sufficiently powerful that it is easy to create, disseminate, and access digital content (e.g., photos, videos) using them. The volume of such cont...