Towards AI-Driven Personalized Experiences in TV 3.0: An Extensible Personalization Architecture

Authors

  • Letícia Concolato Rangel Federal University of Juiz de Fora (UFJF)
  • Marcelo F. Moreno

Keywords:

TV 3.0, Artificial Inteligence, Personalization, Interactive Televison, User Experience, Context-Aware Systems

Abstract

This paper presents preliminary results of an extensible architecture for AI-driven personalization in TV 3.0 environments. The proposed approach combines semantic analysis of audiovisual content with viewer-context information to dynamically select, instantiate, and adapt use-case templates for interactive applications. The architecture supports multiple personalization scenarios across live broadcasting and Video on Demand (VOD) services, enabling semantic and contextaware interactive experiences. Preliminary results demonstrate the feasibility of integrating content understanding, viewercontext modeling, and dynamic application composition within a unified personalization architecture, highlighting its potential to
support more relevant and personalized TV 3.0 experiences.

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Published

2026-09-30

How to Cite

Concolato Rangel, L., & F. Moreno, M. (2026). Towards AI-Driven Personalized Experiences in TV 3.0: An Extensible Personalization Architecture. SET INTERNATIONAL JOURNAL OF BROADCAST ENGINEERING, 12. Retrieved from https://revistaeletronica.set.org.br/ijbe/article/view/361

Issue

Vol. 12 (2026)

Section

Media Experiences, Applications, and Interaction

License

Copyright (c) 2026 SET INTERNATIONAL JOURNAL OF BROADCAST ENGINEERING

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