WordNet: a lexical database for English
Communications of the ACM
Fab: content-based, collaborative recommendation
Communications of the ACM
Group Modeling: Selecting a Sequence of Television Items to Suit a Group of Viewers
User Modeling and User-Adapted Interaction
Ambient intelligence: visualizing the future
Proceedings of the working conference on Advanced visual interfaces
An ontology of time for the semantic web
ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on Temporal Information Processing
Computers in Entertainment (CIE) - Social television and user interaction
A Lightweight Mobile TV Recommender
EUROITV '08 Proceedings of the 6th European conference on Changing Television Environments
Electronic Programme Guide Design for Preschool Children
EUROITV '08 Proceedings of the 6th European conference on Changing Television Environments
An emergent role for TV in social communication
Proceedings of the seventh european conference on European interactive television conference
Proceedings of the seventh european conference on European interactive television conference
Context information exchange and sharing in a peer-to-peer community: a video annotation scenario
Proceedings of the 27th ACM international conference on Design of communication
The Evolution of TV Systems, Content, and Users Toward Interactivity
Foundations and Trends in Human-Computer Interaction
Semantics-based framework for personalized access to TV content: the iFanzy use case
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
A context information structure using peer-to-peer networks with the TV users
WebMedia '09 Proceedings of the XV Brazilian Symposium on Multimedia and the Web
Video mediated social interaction between groups: System requirements and technology challenges
Telematics and Informatics
Integrating Interactive TV Services and the Web through Semantics
International Journal on Semantic Web & Information Systems
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In this paper we present our framework, SenSee, designed to provide context-aware and personalized search that can be used to support multimedia applications in making content recommendations. Our primary demonstration application built upon the framework targets the growing digital television domain where we foresee an increasing need for user-adaptive functionality to counter the looming content explosion which will make current television zapping inadequate. Via our AJAX-based interface we show how different user contexts, such as location, time and audience, in combination with a standard user profile can improve the multimedia (TV content) consumption experience. In modeling the user (profile and context) SenSee exploits ontologies to express the semantics involved. We illustrate via experiments the influence of the user's current context and demonstrate the difference when we dis/enable the inclusion of different ontologies describing time, geographical, lexical and TV domain knowledge.