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Abstract

The system proposed in this article aims to identify and recognize television users with the objective of offering personalized television programming. In this setting, the authentication and recommendation mechanisms used require to collect the necessary information in an implicit manner as much as possible, such that the leisure and entertainment objectives this broadcasting medium brings are not interrupted. The design proposed for the implementation of the interactive application uses an authentication process based on facial recognition and a recommendation algorithm based on contextual information, which is mainly implicitly captured. Experimental obtained results show that the system offers more accurate recommendations when the user exhibits a habitual behavior; e.g. watching TV programs of a same category in a specific channel and schedule.

Original languageEnglish
Title of host publication2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538638941
DOIs
StatePublished - 4 Jan 2018
Event2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017 - Salinas, Ecuador
Duration: 16 Oct 201720 Oct 2017

Publication series

Name2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017
Volume2017-January

Conference

Conference2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017
Country/TerritoryEcuador
CitySalinas
Period16/10/1720/10/17

Keywords

  • digital TV
  • recommender system
  • user authentication

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