Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Filtering and Selecting Semantic Web Services with Interactive Composition Techniques
IEEE Intelligent Systems
IEEE Transactions on Knowledge and Data Engineering
Dynamic Selection of Web Services with Recommendation System
NWESP '05 Proceedings of the International Conference on Next Generation Web Services Practices
Preference-based selection of highly configurable web services
Proceedings of the 16th international conference on World Wide Web
Architecture for Web Services Filtering and Clustering
ICIW '07 Proceedings of the Second International Conference on Internet and Web Applications and Services
Framework for Web service query algebra and optimization
ACM Transactions on the Web (TWEB)
Incomplete Preference-driven Web Service Selection
SCC '08 Proceedings of the 2008 IEEE International Conference on Services Computing - Volume 1
Extending CP-nets with stronger conditional preference statements
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Journal of Artificial Intelligence Research
The computational complexity of dominance and consistency in CP-nets
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Reasoning with conditional ceteris paribus preference statements
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Service selection algorithms for composing complex services with multiple qos constraints
ICSOC'05 Proceedings of the Third international conference on Service-Oriented Computing
A fuzzy framework for selecting top-k web service compositions
ACM SIGAPP Applied Computing Review
Web Service Selection with Quantitative and Qualitative User Preferences
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
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Web service selection enables a user to find the most desirable service based on his / her preferences. However, user preferences in real world can be either incomplete or inconsistent, such that service selection cannot be conducted properly. This paper presents a system to facilitate Web service selection in face of incomplete or inconsistent user preferences. The system utilizes the information of historical users to amend the active user's preference, so as to improve the results of service selection. We present a detailed design of the system and verify its efficiency through extensive experiments.