Title: TED Talk Recommender Using Speech Transcripts,
Abstract: 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. Therefore, we have developed a web application which
recommends related TED lecture videos to the users, considering the content of
the videos from the transcripts. TED Talk Recommender constructs a network for
recommending videos that are similar content-wise and providing a user
interface.