Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Web Services Platform Architecture: SOAP, WSDL, WS-Policy, WS-Addressing, WS-BPEL, WS-Reliable Messaging and More
Organizing and sharing distributed personal web-service data
Proceedings of the 17th international conference on World Wide Web
Linux Journal
Programming collective intelligence
Programming collective intelligence
Building highly-interactive, data-intensive, REST applications: the Invenio experience
CASCON '08 Proceedings of the 2008 conference of the center for advanced studies on collaborative research: meeting of minds
MatchUp: Autocompletion for Mashups
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
MUADDIB: A distributed recommender system supporting device adaptivity
ACM Transactions on Information Systems (TOIS)
Using RESTful web-services and cloud computing to create next generation mobile applications
Proceedings of the 24th ACM SIGPLAN conference companion on Object oriented programming systems languages and applications
Web 2.0-based social informatics data grid
Proceedings of the 5th Grid Computing Environments Workshop
On Leveraging Social Web Sites
ICICIC '09 Proceedings of the 2009 Fourth International Conference on Innovative Computing, Information and Control
The adaptive web: methods and strategies of web personalization
The adaptive web: methods and strategies of web personalization
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The current Web offers a very large number of solutions and services, ranging from social networking and content delivery services to business applications and management systems. However, in a general case the solutions provided are largely disintegrated, with each product operating in its own environment. Additionally, many of the products are unknown to the end user and finding the most suitable application is commonly a nontrivial task. The current project is an effort to provide an ubiquitous interface for Web application integration. The suggested approach allows for dynamic identification of the applications most suitable for a given task and access to their data using a unified interface in the REST architectural style. A novel algorithm for identification of the most appropriate data source is introduced within the study. Evaluation of the overall system and the obtained results is provided.