Social Media Content Recommendation System using Knn Algorithm

Online streaming platforms for YouTuber short films are now widely used. Sites like YouTube Shorts provide an excellent platform for content creators to share their knowledge, ideas, and interesting information with their audience. There are no limits to creativity in the world of short videos. Billions of people create, edit, watch and share short videos on YouTube Shorts. Whether you want to share your voice with the world or create fun videos for your friends, all you need is your phone and your ideas. Machine learning algorithms are used to analyze large amounts of user behavior data such as: B. Search, watch videos, like, comment, subscribe. By analyzing this data, recommendation systems can predict user preferences and recommend videos that users are likely to like. Companies are using social media to grow their business, and data mining and analytics are very important today. This article describes trend analysis for short videos on YouTube. Creators are encouraged to create compelling video content. These user characteristics such as views, comments, likes and dislikes are used for analytics. Analytics can use this algorithm as a supervised algorithm to classify other machine learning models and filter based on content.