Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Meta-recommendation systems: user-controlled integration of diverse recommendations
Proceedings of the eleventh international conference on Information and knowledge management
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A Framework and Ontology for Dynamic Web Services Selection
IEEE Internet Computing
Implicit: an agent-based recommendation system for web search
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Dynamic Selection of Web Services with Recommendation System
NWESP '05 Proceedings of the International Conference on Next Generation Web Services Practices
Toward a programming model for service-oriented computing
ICSOC'05 Proceedings of the Third international conference on Service-Oriented Computing
Semantic caching for web services
ICSOC'05 Proceedings of the Third international conference on Service-Oriented Computing
Agent-mediated knowledge sharing for intelligent services management
Information Systems Frontiers
Improving Web Service Discovery with Usage Data
IEEE Software
Web service discovery based on past user experience
BIS'07 Proceedings of the 10th international conference on Business information systems
Implicit: a multi-agent recommendation system for web search
Autonomous Agents and Multi-Agent Systems
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Recommendation systems have proven to be useful in various application domains. However, current solutions are usually ad-hoc systems which are tightly-coupled with the application domain. We present the IC-Service, a recommendation service that can be included in any system in a loosely coupled way. The implementation follows the principles of service oriented computing and provides a solution to various problems arising in recommendation systems, e.g. to the problem of meta-recommendation systems development. Moreover, when properly configured, the IC-Service can be used by different applications (clients), and several independent instances of the IC-Service can collaborate to produce better recommendations. Service architecture and communication protocols are presented. The paper describes also ongoing work and applications based on the IC-Service.