Content based Video Recommendation System
Harshal Shrimali, Rahul Saxena, Kavita Kavita · 2023
We launched a new method of recommending youTube videos. Our algorithm suggests videos based on their semantic similarity to the query using the transcripts of the videos and ranking them using natural language ranking algorithms. In terms of quality and information, our method has the potential to provide better-related videos than tag-based recommendation. This can be useful for recommending educational videos and can be used on ed-tech platforms and MOOC course platforms.