YouTube is one of the most visited and most used websites on the internet, with users watching over a billion hours of videos every day. Although some of these views are done with custom searches, the vast majority of it comes from the platform’s system of recommendation algorithms that decides which videos are suggested to users based on many different factors. While many creators and content marketers focus on getting views and subscribers through multiple methods such as YouTube search engine optimization and social media promotion, these methods alone are not enough, as the largest share of the appearance of videos to viewers is due to the platform’s supported recommendation algorithms with artificial intelligence. What are YouTube’s recommendation algorithms? YouTube’s recommendation algorithms are a set of software powered by artificial intelligence technology that processes videos and associated content such as comments.
How do YouTube’s recommendation algorithms work?
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