How Does YouTube Algorithm Work? The Use of AI for Video Recommendations

YouTube relies heavily on AI to deliver content. The newest YouTube algorithms put a great deal of value on the average time that a person views any video, gives it a like or dislike, and comments. Similarly, the recommender system is one of the most powerful use cases of ML that is encountered by every one of us many times a day. Collaborative Filtering: This is a type where we tend to build collaborations between various users and items(videos). Matrix Factorization: It tries to dissolve both user and item vectors together thus decomposing them and providing YouTube with better comparison metrics.