Fab: content-based, collaborative recommendation
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
A model for web services discovery with QoS
ACM SIGecom Exchanges
Using Support Vector Machines for feature-oriented profile-based recommendations
International Journal of Advanced Intelligence Paradigms
An intelligent travel book management system
International Journal of Ad Hoc and Ubiquitous Computing
SMARTMUSEUM: A mobile recommender system for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
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This work approaches the problem of delivering services in a personalized way in an eTourism scenario. Our research, on one side, exploits semantic annotation of either services and user profiles to add a layer of business description that allows the system to supply the most suitable service to the user who requested it. On the other side, this work aims to extent Service Oriented Architecture with the use of semantics and ontologies to enable e-business relations in the tourism applicative domain. This approach is adopted in the MAIS project, in which a Service Oriented Architecture has been developed. Our model relies on semantic description of services, rule-based user profile and the use of semantic matching algorithms.