From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Understanding and Using Context
Personal and Ubiquitous Computing
Who, What, When, Where, How: Design Issues of Capture & Access Applications
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
Ontology Based Context Modeling and Reasoning using OWL
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Interactive television: new genres, new format, new content
Proceedings of the second Australasian conference on Interactive entertainment
Data Mining: um Guia Prático
Computer
TV3P: an adaptive assistant for personalized TV
IEEE Transactions on Consumer Electronics
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The increasing number of TV programmes available to users, as well as the interactive services provided, resulting from the emergence of the Interactive Digital TV increases the difficulty of selecting relevant content. In this scenario, the user participation is important in a collaborative way. This paper presents a software infrastructure in an Interactive Digital TV environment – entitled CollaboraTVware – to guide, in a transparent way, users in the choice of TV programmes and interactive services through the collaborative participation of other users with similar profile and context. The classification task, from the theory of data mining, is the approach adopted in the infrastructure design. To demonstrate the functionalities in a usage scenario, it has developed an application (collaborative EPG) as a case study that uses the CollaboraTVware.