A vector space model for automatic indexing
Communications of the ACM
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
TrustBAC: integrating trust relationships into the RBAC model for access control in open systems
Proceedings of the eleventh ACM symposium on Access control models and technologies
A group based reputation system for p2p networks
ATC'06 Proceedings of the Third international conference on Autonomic and Trusted Computing
Towards a generic trust model – comparison of various trust update algorithms
iTrust'05 Proceedings of the Third international conference on Trust Management
Sharing reputation across virtual communities
Journal of Theoretical and Applied Electronic Commerce Research
Making sense of ratings: a common quantitative feedback ontology
Proceedings of the 7th International Conference on Semantic Systems
The impact of testimonials on purchase intentions in a mock e-commerce web site
Journal of Theoretical and Applied Electronic Commerce Research
Trust and reputation in and across virtual communities
Proceedings of the 16th International Conference on Extending Database Technology
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Information sharing is a key objective in the age of Internet and virtual communities. Reputation information is an important part of a user’s identity and is both a sensitive and desired data for communities to share. At the same time, a reputation that a user has gained at some point in time can leverage her state in new communities. Communities use various trust and reputation models to compute the internal reputation of their members and each model may represent and quantify reputation in different manners. This paper introduces the Cross-Community Reputation (CCR) model that enables to bridge the gap between communities. The CCR model identifies the fundamental terms required for a meaningful sharing of reputation information among communities and proposes means to make them feasible. The model describes the actions taken in response to a request for CCR in three major stages – evaluation of reconditions, conversion of reputation values, and the matching of reputation attributes. The CCR model inherently supports policies specified by both communities and users.