Predictive Statistical Models for User Modeling
User Modeling and User-Adapted Interaction
IEEE Internet Computing
Focusing on Context in Human-Centered Computing
IEEE Intelligent Systems
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
QoS computation and policing in dynamic web service selection
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Web Service Recommendation Based on Client-Side Performance Estimation
ASWEC '07 Proceedings of the 2007 Australian Software Engineering Conference
Probabilistic QoS and Soft Contracts for Transaction-Based Web Services Orchestrations
IEEE Transactions on Services Computing
Combining global optimization with local selection for efficient QoS-aware service composition
Proceedings of the 18th international conference on World wide web
Reputation Propagation in Composite Services
ICWS '09 Proceedings of the 2009 IEEE International Conference on Web Services
A survey of collaborative filtering techniques
Advances in Artificial Intelligence
Distributed QoS Evaluation for Real-World Web Services
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
Towards Data-Aware QoS-driven Adaptation for Service Orchestrations
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
Assessing Software Service Quality and Trustworthiness at Selection Time
IEEE Transactions on Software Engineering
Ranking and Clustering Web Services Using Multicriteria Dominance Relationships
IEEE Transactions on Services Computing
Web Services: Concepts, Architectures and Applications
Web Services: Concepts, Architectures and Applications
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With the prevalence of Web service, QoS is playing a more and more important role in service evaluation, recommendation and selection. In most previous works, it is often assumed that the delivered QoS of a Web service is often determined by service provider, not service consumer. However, in the practical service execution environment, Web services usually work in an interactive mode with service consumer, so service consumer should also take responsibility for the delivered QoS of a Web service. Hence, it becomes a challenge to evaluate the QoS of Web services impartially. In view of this challenge, a QoS evaluation method for personalized service requests is proposed in this paper. Finally, the effectiveness of our method is validated, and an optimization method is proposed to improve the QoS evaluation efficiency.