NSPW '97 Proceedings of the 1997 workshop on New security paradigms
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
REGRET: reputation in gregarious societies
Proceedings of the fifth international conference on Autonomous agents
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
A Computational Model of Trust and Reputation for E-businesses
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
Journal of the American Society for Information Science and Technology
TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
Autonomous Agents and Multi-Agent Systems
Trust management with delegation in grouped peer-to-peer communities
Proceedings of the eleventh ACM symposium on Access control models and technologies
Trust network analysis with subjective logic
ACSC '06 Proceedings of the 29th Australasian Computer Science Conference - Volume 48
PowerTrust: A Robust and Scalable Reputation System for Trusted Peer-to-Peer Computing
IEEE Transactions on Parallel and Distributed Systems
Using Context to Improve Predictive Modeling of Customers in Personalization Applications
IEEE Transactions on Knowledge and Data Engineering
ACM SIGACT News
Data Security in the World of Cloud Computing
IEEE Security and Privacy
Bayesian reputation modeling in E-marketplaces sensitive to subjecthity, deception and change
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
StereoTrust: a group based personalized trust model
Proceedings of the 18th ACM conference on Information and knowledge management
Bootstrapping trust evaluations through stereotypes
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Leveraging Contextual Information to Explore Posting and Linking Behaviors of Bloggers
ASONAM '10 Proceedings of the 2010 International Conference on Advances in Social Networks Analysis and Mining
Using Stereotypes to Identify Risky Transactions in Internet Auctions
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
Reputation evaluation for choosing a trustworthy counterparty in C2C e-commerce
Electronic Commerce Research and Applications
MetaTrust: discriminant analysis of local information for global trust assessment
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Decoupling service and feedback trust in a peer-to-peer reputation system
ISPA'05 Proceedings of the 2005 international conference on Parallel and Distributed Processing and Applications
An adaptive group-based reputation system in peer-to-peer networks
WINE'05 Proceedings of the First international conference on Internet and Network Economics
Contextual Trust Aided Enhancement of Data Availability in Peer-to-Peer Backup Storage Systems
Journal of Network and Systems Management
A trust prediction approach capturing agents' dynamic behavior
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Which is more important in Internet shopping, perceived price or trust?
Electronic Commerce Research and Applications
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Models of computational trust support users in taking decisions. They are commonly used to guide users' judgements in online auction sites; or to determine quality of contributions in Web 2.0 sites. However, most existing systems require historical information about the past behavior of the specific agent being judged. In contrast, in real life, to anticipate and to predict a stranger's actions in absence of the knowledge of such behavioral history, we often use our ''instinct''-essentially stereotypes developed from our past interactions with other ''similar'' persons. In this paper, we propose StereoTrust, a computational trust model inspired by stereotypes as used in real-life. A stereotype contains certain features of agents and an expected outcome of the transaction. When facing a stranger, an agent derives its trust by aggregating stereotypes matching the stranger's profile. Since stereotypes are formed locally, recommendations stem from the trustor's own personal experiences and perspective. Historical behavioral information, when available, can be used to refine the analysis. According to our experiments using Epinions.com dataset, StereoTrust compares favorably with existing trust models that use different kinds of information and more complete historical information.