Trabalho em anais de eventoOpen Access
Enhanced User Experience in Digital TV: Recommending Content in Free-to-Air TV Contexts
OLIVEIRA, SERGILLAM B.; SOUZA, TIAGO; KIMURA, PETRINA; MACHADO, HAYDÊ; MAIA, ORLEWILSON; DE L. FILHO, EDDIE B.; DO NASCIMENTO, EDSON W. A.; NEGREIROS, LEANDRO; SANTANA, RAFAELL GUIMARÃES; CORDEIRO, LUCAS C
Resumo
Resumo
Digital television (DTV) systems offer superior audio, video, and interactivity capabilities, enabling innovative services such as recommendation systems. This paper proposes a personalized recommendation methodology for DTV employing three distinct approaches: active search, background, and on-the-fly recommendation modes. The proposed system integrates DTV devices, mobile devices, and centralized data repositories, ensuring greater user control over personal data and reducing the need for centralized processing. Experimental results show that the mobile application performs efficiently on mid-range devices, consuming an average of 82 MB of RAM, and demonstrates feasi-bility in real-time operation. Compared to previous approaches, the proposed system stands out by utilizing mobile devices as the primary interface, thereby enhancing privacy and reducing costs, ultimately improving the user experience by providing relevant content suggestions based on personal preferences and consumption patterns.
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palavras-chave
Palavras-chave
digital televisioncontent recommendationpersonalized recommendationmobile devicesuser experienceprivacyuser preferencesreal-time recommendation
Status
Published
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