Unsupervised TV Scheduling Based on Collaborative Filtering

  • Leonardo Farage Freitas UFSC
  • Heloisa Simon UFSC
  • Aldo von Wangenheim UFSC


The generation of a television program schedule is a daily challenge. Broadcasting companies need to broadcast the best content according to the audience's preference. This paper proposes a novel take on collaborative filtering techniques to automate the selection of content based on viewers' rating through an interactive digital TV application. In order to overcome the fact that a television channel can broadcast only one schedule at a time, we group all ratings on Time Intervals in order to generalize viewers' preference and present the most appropriate content using a collaborative filtering technique.
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FREITAS, Leonardo Farage; SIMON, Heloisa; WANGENHEIM, Aldo von. Unsupervised TV Scheduling Based on Collaborative Filtering. In: SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 20. , 2014, João Pessoa. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2014 . p. 139-142.