A personalized channel recommendation and scheduling system considering both section video clips and full video clips

PLoS One. 2018 Jul 6;13(7):e0199748. doi: 10.1371/journal.pone.0199748. eCollection 2018.

Abstract

With the convergence of various broadcasting systems, the amount of content available in mobile terminals including IPTV has significantly increased. In this paper, we propose a system that enables users to schedule programs considering both section video clips and full video clips based on the user detection method with similar preference. And, since the system constituting the contents can be classified according to the program, the proposed method can store a program desired by the user, and thus create and schedule a kind of individual channel. Experimental results show that the proposed method has a higher prediction accuracy; this is accomplished by comparing existing channel recommendation methods with the program recommendation methods proposed in this paper.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Communications Media / standards*
  • Computer Communication Networks / organization & administration*
  • Humans
  • Models, Theoretical*
  • Video Recording*

Grants and funding

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education.