Context-aware personalization for mobile multimedia services
Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia
The Evolution of TV Systems, Content, and Users Toward Interactivity
Foundations and Trends in Human-Computer Interaction
An architecture for non-intrusive user interfaces for interactive digital television
EuroITV'07 Proceedings of the 5th European conference on Interactive TV: a shared experience
Designing mobile search interface with query term extraction
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
Intelligent Decision Technologies - Special issue on Multimedia/Multimodal Human-Computer Interaction in Knowledge-based Environments
Viewer behaviors and practices in the (new) television environment
Proceedings of the 11th european conference on Interactive TV and video
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In this paper a TV recommender system called AVATAR (AdVAnce Telematic search of Audiovisual contents by semantic Reasoning) is presented. This tool uses the experience gained in the field of the Semantic Web to personalize the TV programs shown to the end users. The main contribution of our system is a process of semantic reasoning carried out on the descriptions of the TV contents ---provided by means of metainformation--- and on the viewer preferences --- contained in personal profiles. Such process allows to diversify the offered suggestions maintaining the personalization, given that the aim is to find contents appealing for the users, which are related semantically to their programs of interest.Here the framework proposed for this reasoning is introduced, by including (i) the OWL ontology chosen to represent the knowledge of our application domain, (ii) the organization of the user profiles, (iii) the query language LIKO, which is intended to browse the ontology and (iv) the semantic relations inferred from the system knowledge base.