A solution of a DTV recommendation engine based on broadband and broadcast data

Age of digital television has brought many changes to television user´s experience. On one side there is comfort because of great amount of data available in the stream and possibility of accessing the Internet over TV. On the other side great amount of data brings significant discomfort, if the data is not organized well and user has to browse through it for a long time. This paper describes a solution for recommending similar data originating from digital television stream or from the Internet. Aim of the presented solution is personalization of television content and related data from the Internet and also selection of most proper results. Main approaches are described and the solution is compared to some existing solutions.