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Design and Implementation of YouTube-based Educational Video Recommendation System

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2022, 27(5), pp.37-45
  • DOI : 10.9708/jksci.2022.27.05.037
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : February 17, 2022
  • Accepted : May 9, 2022
  • Published : May 31, 2022

Young Kook Kim 1 Myung Ho Kim 1

1숭실대학교

Accredited

ABSTRACT

As of 2020, about 500 hours of videos are uploaded to YouTube, a representative online video platform, per minute. As the number of users acquiring information through various uploaded videos is increasing, online video platforms are making efforts to provide better recommendation services. The currently used recommendation service recommends videos to users based on the user's viewing history, which is not a good way to recommend videos that deal with specific purposes and interests, such as educational videos. The recent recommendation system utilizes not only the user's viewing history but also the content features of the item. In this paper, we extract the content features of educational video for educational video recommendation based on YouTube, design a recommendation system using it, and implement it as a web application. By examining the satisfaction of users, recommendataion performance and convenience performance are shown as 85.36% and 87.80%.

Citation status

* References for papers published after 2023 are currently being built.