Introduction: personalized views of personalization
Communications of the ACM
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
IEEE Internet Computing
Semantic resource management for the web: an e-learning application
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Compositional knowledge management for medical services on semantic web
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Using ontologies in personalized mobile applications
Proceedings of the 12th annual ACM international workshop on Geographic information systems
An architecture for personal semantic web information retrieval system
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
A context-aware music recommendation agent in smart office
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Adaptive user preference modeling and its application to in-flight entertainment
Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts
Supporting adaptive learning interactions with ontologies
Proceedings of the 11th International Conference of the NZ Chapter of the ACM Special Interest Group on Human-Computer Interaction
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Personalized services that provide users with adaptive information filtered from heterogeneous and numerous information makes human-computer interaction efficient. Although personalized services have been researched in the various, heterogeneous information and users have raised the problem of defining a generic user model that would be used as a basis for recommending personalized information. Moreover, it is difficult to share the users' information. In this paper, we propose ontology-based user preference model as one of the solution to resolve the problems. In our model, user preference is described in User Preference Description Language (UPDL) with various domain ontologies. UPDL is a simple and OWL-based description language that allows users to describe their preference over domain ontologies. It provides not only rich expressiveness, reusability and flexibility but also the novel personalized services that can access and utilize not only user preferences in the own service but also in other services.