Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Dynamic and adaptive composition of e-services
Information Systems - The 12th international conference on advanced information systems engineering (CAiSE 00)
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
A software framework for matchmaking based on semantic web technology
WWW '03 Proceedings of the 12th international conference on World Wide Web
The Conference Assistant: Combining Context-Awareness with Wearable Computing
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
Composing Web services on the Semantic Web
The VLDB Journal — The International Journal on Very Large Data Bases
A Service Interoperability Assessment Model for Service Composition
SCC '04 Proceedings of the 2004 IEEE International Conference on Services Computing
Toward an Agent-Based and Context-Oriented Approach for Web Services Composition
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
Web service discovery based on past user experience
BIS'07 Proceedings of the 10th international conference on Business information systems
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In composing and using services, user's requirements are subject to uncertainty and changes. It can be difficult for users to maintain an overview of all available services and to make good choices among them. This paper proposes an approach to proactively recommending suitable services to users. Our major contribution is to have devised a novel user-interest model to describe user's interests adaptively. A reasonable way is put forward for picking up suitable services timely and its key problem is defined formally. Important properties of the model are theoretically proved, and the effectiveness of recommendations is verified with prototypical implementation and tryouts in public service area.