Watched by billions, YouTube is the second most popular search engine after Google. YouTube algorithm is AI-powered and brings the best and most engaging videos in front of visitors. YouTube drives its development from a lot of signals it gets as the audience engages with billions of videos on varied topics.
The social signals are vital preference signs from which the company draws inferences to further evolve and refine its entertainment system. Also taken into account is video personalization wherein people like to watch some videos and ignore others. When ranking, YouTube considers factors such as video performance, which a satisfied viewer extols.
The entertainment giant has 2.6 billion monthly users while YouTube Premium and Music together have 80 million subscribers. India is the biggest market with 225 users followed by the US with 197 users.
Learning youtube algorithm
The YouTube algorithm is constantly changing and evolving. They are always in consonance with the company’s policies, aims, and vision. The entertainment company always keeps tabs on the latest trends and fads to be in tandem with the latest.
YouTube states that at the core of its policies lie four principles:
Remove
Reduce
Raise
Rewards
The company removes malicious content that violates its policies and is by all means obnoxious. It reduces fake news and propaganda. It’s an authoritative source of news and information and rewards creators for making excellent videos and music. In the search, and entertainment industry AI and machine learning are making their way. YouTube too is slowly inducting AI and machine learning to produce engaging videos and music. In the coming future, the company is going to change for the better.
In their creator videos, YouTube says:
“YouTube’s recommendation system actually finds videos for viewers, rather than viewers for videos. Videos are pulled for each user when they visit YouTube. The goal of the search and discovery system is to present each viewer with a video they’re most likely to watch and enjoy. Every viewer’s recommendations will look different.”