Context-Dependent User Modelling for Smart Homes
نویسندگان
چکیده
This works presents a user modelling service for a Smart Home – intelligent context-aware environment, providing personalized proactive support to its inhabitants. Diversity of Smart Home applications imposes various technical and implementation requirements, such as the need to model dependency of user preferences on context in a unified and convenient way, both for users and for application developers. This paper introduces the service architecture and currently implemented functionalities: stereotypes-based profiles initialisation; a GUI for acquisition of context-dependent and contextindependent preferences, which provides an easy way to create own concepts of context ontology and to map them into already existing concepts; and a method to learn context-dependent user preferences from interaction history.
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تاریخ انتشار 2007