Proceedings of the 6th international conference on Intelligent user interfaces
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
A fuzzy model for reasoning about reputation in web services
Proceedings of the 2006 ACM symposium on Applied computing
IC-service: a service-oriented approach to the development of recommendation systems
Proceedings of the 2007 ACM symposium on Applied computing
Web service discovery based on past user experience
BIS'07 Proceedings of the 10th international conference on Business information systems
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
Combining query-by-example and query expansion for simplifying web service discovery
Information Systems Frontiers
Towards a reference service model for the Web of Services
Data & Knowledge Engineering
Implicit: a multi-agent recommendation system for web search
Autonomous Agents and Multi-Agent Systems
A recommender system based on historical usage data for web service discovery
Service Oriented Computing and Applications
Modeling user's non-functional preferences for personalized service ranking
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
A Survey of Approaches to Web Service Discovery in Service-Oriented Architectures
Journal of Database Management
A self-organizing P2P framework for collective service discovery
Journal of Network and Computer Applications
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Web service discovery is a difficult and challenging activity that makes the development of service-based applications a time-consuming and still not widely practiced process. Descriptions of publicly available services are scarce and their quality isn't guaranteed. This article presents a recommendation system to help developers of service-based applications discover and select appropriate services. Given a task description, the system recommends service operations according to the history of decisions previously made for similar objectives. The system is developed using IC-Service, a domain-independent recommendation Web service based on the implicit culture theory of service developers. IC-Service automatically collects information about service usage. Experimental results show that the system can learn from experience and achieve fair precision in its recommendations. This article is part of a special focus on service-centric software systems.