Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
Agent-based trust model involving multiple qualities
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Dynamic Selection of Web Services with Recommendation System
NWESP '05 Proceedings of the International Conference on Next Generation Web Services Practices
Web service selection mechanisms in the Web Service Execution Environment (WSMX)
Proceedings of the 2006 ACM symposium on Applied computing
Enabling Semantic Web Services: The Web Service Modeling Ontology
Enabling Semantic Web Services: The Web Service Modeling Ontology
A survey of trust and reputation systems for online service provision
Decision Support Systems
Experience-based service provider selection in agent-mediated E-Commerce
Engineering Applications of Artificial Intelligence
Trust-based service provider selection in open environments
Proceedings of the 2007 ACM symposium on Applied computing
New Recommendation Techniques for Multicriteria Rating Systems
IEEE Intelligent Systems
An Extensible and Personalized Approach to QoS-enabled Service Discovery
IDEAS '07 Proceedings of the 11th International Database Engineering and Applications Symposium
On the Behaviour of the TRSIM Model for Trust and Reputation
MATES '07 Proceedings of the 5th German conference on Multiagent System Technologies
Exploiting User Feedback to Improve Semantic Web Service Discovery
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Web service discovery based on past user experience
BIS'07 Proceedings of the 10th international conference on Business information systems
Collaborative filtering recommender systems
The adaptive web
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In today's online markets, consumers need support in finding providers that offer the products or services they need and that are trustworthy. While Semantic Web Services (SWS) research addresses the first problem (discovering functionally suitable service providers), it neglects the second. Hence, several attempts have been made to complement service retrieval techniques based on semantic matchmaking with trust-establishing techniques that leverage collaborative consumer feedback. However, the diversity and multi-faceted nature of SWS impose special requirements on the underlying feedback mechanism, in particular w.r.t. their flexibility and expressiveness. Existing approaches only partially meet those requirements. In this paper, we will therefore propose a trust-establishing mechanism for Semantic Web Services that allows to assess a service provider's trustworthiness with respect to various service aspects and is flexible enough to adjust to various kinds of services and consumer requirements.