Abstract
In order to understand the recommendation algorithm applied to the online video platform, this study examines the relationship between the content characteristics of K-pop music videos and related videos recommended for playback on YouTube, and analyses which videos are recommended as related videos through network analysis. As a result, the more liked videos, the higher recommendation ranking and most of the videos belonging to the same channel or produced by the same agency were recommended as related videos. As a result of the network analysis of the related video, the network of K-pop music video is strongly formed, and the BTS music video is highly centralized in the network analysis of the related video. These results suggest that the network between K-pops is strong, so when you enter K-pop as a search query and watch videos, you can enjoy K-pop continuously. But when watching other genres of video, K-pop may not be recommended as a related video.
| Translated title of the contribution | What Do The Algorithms of The Online Video Platform Recommend: Focusing on Youtube K-pop Music Video |
|---|---|
| Original language | Korean |
| Pages (from-to) | 1-13 |
| Number of pages | 13 |
| Journal | 한국콘텐츠학회 논문지 |
| Volume | 20 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 2020 |