StereoTrust: a group based personalized trust model

Trust plays important roles in diverse decentralized environments, including our society at large. Computational trust models help to, for instance, guide users’ judgements in online auction sites about other users; or determine quality of contributions in web 2.0 sites. Most of the existing trust models, however, require historical information about past behavior of a specific agent being evaluated – information that is not always available. In contrast, in real life interactions among users, in order to make the first guess about the trustworthiness of a stranger, we commonly use our “instinct” – essentially stereotypes developed from our past interactions with “similar” people. We propose StereoTrust, a computational trust model inspired by real life stereotypes. A user forms stereotypes using her previous transactions with other agents. A stereotype contains certain features of agents and an expected outcome of the transaction. These features can be taken from agen...

• Type: Conference
• Year: 2009
• Where: CIKM
• Authors: Xin Liu, Anwitaman Datta, Krzysztof Rzadca, Ee-Peng Lim
• Keywords: CIKM 2009, Computational Trust Model, Database, Stereotype, Trust Models