PersonalTVware: Uma Proposta de Infraestrutura de Suporte a Sistemas de Recomendação Sensíveis ao Contexto para TV Digital Interativa

• Fabio Santos da Silva USP
• Luiz Gustavo Pacola Alves USP
• Graça Bressan USP

Abstract

The advent of Digital TV has ensued the growth in the volume of TV programs. Consequently, the difficulty in finding the content the TV viewer wishes in a transparent way among the available TV programs increased. Within this scenario, the recommender systems stand out as a possible solution for this problem. Thus, this paper presents a software infrastructure in an Interactive Digital TV environment to support context-aware recommender system for Digital TV – entitled PersonalTVware. To demonstrate and validate the functionalities in a use scenario was developed a context-aware recommender system as a case study which uses the PersonalTVware.

Keywords: Interactive Digital TV, Recommender systems, Learning Machine, Context-Awareness.