IC-service: a service-oriented approach to the development of recommendation systems
Proceedings of the 2007 ACM symposium on Applied computing
Agent-mediated knowledge sharing for intelligent services management
Information Systems Frontiers
Improving Web Service Discovery with Usage Data
IEEE Software
A Personalized Approach to Experience-Aware Service Ranking and Selection
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
ReMan: A pro-active reputation management infrastructure for composite Web services
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Toward Trustworthy Semantic Web Service Discovery and Selection
ATC '09 Proceedings of the 6th International Conference on Autonomic and Trusted Computing
Web Service Selection with Incomplete or Inconsistent User Preferences
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Web service discovery based on past user experience
BIS'07 Proceedings of the 10th international conference on Business information systems
Service recommendation with adaptive user interests modeling
ICDCIT'07 Proceedings of the 4th international conference on Distributed computing and internet technology
Dynamic architectural constraints monitoring and reconfiguration in service architectures
ECSA'10 Proceedings of the 4th European conference on Software architecture
Collaborative filtering technique for web service recommendation based on user-operation combination
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems - Volume Part I
Enabling trust-aware semantic web service selection a flexible and personalized approach
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
A support system for web service integration based on user profiles
AICT'11 Proceedings of the 2nd international conference on Applied informatics and computing theory
A novel prediction approach for trustworthy QoS of web services
Expert Systems with Applications: An International Journal
A recommender system based on historical usage data for web service discovery
Service Oriented Computing and Applications
QoS driven dynamic binding in-the-many
QoSA'10 Proceedings of the 6th international conference on Quality of Software Architectures: research into Practice - Reality and Gaps
Recommending multimedia web services in a multi-device environment
Information Systems
Modeling user's non-functional preferences for personalized service ranking
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
Composite Service Recommendation Based on Bayes Theorem
International Journal of Web Services Research
Trust Based Service Selection in Service Oriented Environment
International Journal of Web Services Research
FlowRecommender: a workflow recommendation technique for process provenance
AusDM '09 Proceedings of the Eighth Australasian Data Mining Conference - Volume 101
A survey of trust in social networks
ACM Computing Surveys (CSUR)
Semantic content-based recommendation of software services using context
ACM Transactions on the Web (TWEB)
A Social-Aware Service Recommendation Approach for Mashup Creation
International Journal of Web Services Research
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The realization of the Semantic Web is underway with the development of an arena of services providing similar properties, capabilities, interfaces, and effects. To pick one of such similar services that matches the user's requirements is a difficult task and necessitates the use of an intelligent decision making framework. This paper addresses precisely this component. We present the design of a Dynamic Web service selection framework that makes use of a semantic matcher to support matching and composition of software services. The framework also uses a recommendation system which helps a user to select the best service that matches his requirements. This recommendation system results in evolution of the framework to dynamically adapt to users requirements.