YouTube’s Two-Stage Deep Learning Framework for Video Recommendations

One of the most popular and technologically advanced commercial recommendation systems is YouTube, which makes it one of the most popular. In addition to providing an overview of the system, it shows the extraordinary advances in efficiency that have been made possible by advanced learning techniques. The standard "two-stage" architecture is utilized in this research for the purpose of isolating and obtaining related material. First, a comprehensive model for the generation of candidates should be provided, and then a model for ranking applicants should be outlined. Both of these should be done in the order that they are stated. Important consideration should be given to the sequence in which these two activities should be finished. Additionally, it provides instruction that can be put into practice as well as useful insights that have been gathered from the process of designing, iterating, and maintaining a large-scale recommendation system that has a substantial impact on the experience of the user. In addition, it offers training that can be put into practice.