Amazon’s revenue McKinsey

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Will catch trends and large audiences. Each social network has its own recommendation system and nuances, and the information on the Internet varies so much that the developers themselves don't fully understand how their algorithms work. A striking example in recent years is. With its precise recommendation algorithm, the short video service not only surpasses its competitors but also forces them to copy the entire system. It can be said that the algorithm subverts the social.

Media content it participates in. What do the statistics say about it? Recommended last database products account for) reports. The number of video views in comes from recommendations (McKinsey). Slightly more than half of people in a survey of people preferred algorithms to humans when they thought decision-making.



Was faster, cheaper, and more accurate (Worse Than Humans? Arizona Law Review). In the United States, researchers have documented that recommendation systems significantly exposed users to far-right extremist movements and conspiracy theories about the election results. As of this year alone, the recommendation engine retrieves 100 million features and makes 10,000 model predictions per second. Click-to-dislike is the most obvious way.