TED Talk Recommender
Video recommendation through semantic analysis of video trascripts
Oh, J., Lee, I., Seonwoo, Y., Sung, S., Kwon, I., & Lee, J. G., TED Talk Recommender Using Speech Transcripts
Appears in: Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
Paper keywords: YouTube; Semantics; Speech recognition; Education; User interfaces (Keywords created by IEEE)
Nowadays, online video platforms mostly recommend related videos by analyzing user-driven data such as viewing patterns, rather than the content of the videos. However, content is more important than any other element when videos aim to deliver knowledge.
The web application we have developed recommends related TED lecture videos to the users, considering the content of the videos from the transcripts.
Following demonstrates the web application.