A personalized TV guide system

An essential change has been occurring in TV nowadays in Brazil: the migration from the analogical system to the system digital TV. A major impact of this change is the increasing capacity transmission of new channels. The electronic programming guide helps viewers to navigate between channels, but the measure that new channels are available it is inevitable that information overload occurs making systems EPG inadequate. This situation arises the need of personalized recommendation systems. In this paper we present a recommendation system compliant with the middleware Ginga. Are presented the results obtained with three different mining algorithms running in a set-top box using real data provide by IBOPE Midia. The IBOPE Midia is the company of the IBOPE group responsible for the communication, media, consumption and audience research.