Web-collaborative filtering: recommending music by crawling the Web
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
Using treemaps to visualize threaded discussion forums on PDAs
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Dynamic Selection of Web Services with Recommendation System
NWESP '05 Proceedings of the International Conference on Next Generation Web Services Practices
Web Page Recommender System based on Folksonomy Mining for ITNG '06 Submissions
ITNG '06 Proceedings of the Third International Conference on Information Technology: New Generations
The ProgrammableWeb: Agile, Social, and Grassroot Computing
ICSC '07 Proceedings of the International Conference on Semantic Computing
Services Mashups: The New Generation of Web Applications
IEEE Internet Computing
Programming Google App Engine
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A large amount of information can be referred to the Internet, but it is becoming difficult for a user to acquire appropriate information pertinently. It is necessary to support a user who is unfamiliar with IT to offer the information suitable for the user. This paper proposes a support system for Web service integration equipped with recommendation function based on user's preferences. The research regards bookmarks on Web browser and tags given to Web services as information showing user's preferences, and a user profile is created using them. A service integration model is built and the proposed system recommends some appropriate examples of integrated services. As compared with conventional support systems, the proposed system requires less amount of work for creation and execution of service integration.