A Computational Distributed Reputation Model for B2C E-commerce
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
A distributed agent-based reputation framework enhancing trust in e-commerce
ASC '07 Proceedings of The Eleventh IASTED International Conference on Artificial Intelligence and Soft Computing
On desideratum for B2C E-commerce reputation systems
Journal of Computer Science and Technology - Special section on trust and reputation management in future computing systmes and applications
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Reputation systems are complex social systems that continually collect, aggregate, and distribute feedback about a person, an organization, a scholarly work, or some other entity, based on the assessments of others from their interactions or experiences with the entity. A reference model, or meta-specification, is presented that describes the essential functionality and behavior that embedded information systems need to provide to be effective and useful mechanisms for making reputation explicit and measurable. The reference model, based on a multi-disciplinary understanding of reputation, is specified in the Unified Modeling Language (UML) since it is the industry-standard approach for modeling systems. The model addresses systems that focus on the reputation of individuals (personal reputation). Extensions for the reputation of corporate, not-for-profit, and governmental organizations (organizational reputation) are described in the conclusion along with challenges for future research.