QoS-Aware Web Service Recommendation by Collaborative Filtering
IEEE Transactions on Services Computing
An Effective Web Service Recommendation Method Based on Personalized Collaborative Filtering
ICWS '11 Proceedings of the 2011 IEEE International Conference on Web Services
An Enhanced QoS Prediction Approach for Service Selection
SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
Location-Aware Collaborative Filtering for QoS-Based Service Recommendation
ICWS '12 Proceedings of the 2012 IEEE 19th International Conference on Web Services
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We have witnessed the widespread adoption of Collaborative Filtering (CF) in prediction of unknown QoS value. Existing approaches have neglected that CF idea was originated from the processing of subjective data, movies scores for example. However, QoS value is objective, therefore the existing CF-based prediction approaches are not applicable well for predicting unknown QoS value. This paper introduces QoS-Prophet, our highly accurate prediction module for the prediction of unknown QoS value. QoS-Prophet is based on a novel CF idea which is quite different from existing CF-based approaches and is perfectly applicable to QoS value prediction. QoS-Prophet is designed as a decision support middleware and can be conveniently deployed in most SOA systems.