A Personalized Framework for Trust Assessment
At ACM Symposium on Applied Computing - Trust, Reputation, Evidence and other Collaboration Know-how (TRECK) Track, United States.
6 pp, .
The number of computational trust models has been increasing quickly in recent years yet their applications for automating trust evaluation are still limited. The main obstacle is the difficulties in selecting a suitable trust model and adapting it for particular trust modeling requirements, which varies greatly due to the subjectivity of human trust. The Personalized Trust Framework (PTF) presented in this paper aims to address this problem by providing a mechanism for human users to capture their trust evaluation process in order for it to be replicated by computers. In more details, a user can specify how he selects a trust model based on information about the subject whose trustworthiness he needs to evaluate and how that trust model is configured. This trust evaluation process is then automated by the PTF making use of the trust models flexibly plugged into the PTF by the user. By so doing, the PTF enable users reuse and personalize existing trust models to suit their requirements without having to reprogram those models.
Conference or Workshop Item
|Venue - Dates:
||ACM Symposium on Applied Computing - Trust, Reputation, Evidence and other Collaboration Know-how (TRECK) Track, United States, 2009-03-01
||trust, reputation, extensibility, framework
||Web & Internet Science
||06 Nov 2008 14:43
||17 Apr 2017 18:57
|Further Information:||Google Scholar|
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