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TikTok's search system adjusts to changes in who's using the app by using a flexible and learning algorithm. As the TikTok user group changes or becomes more diverse, the algorithm keeps updating to make sure content suggestions match the preferences of the evolving demographics.
When demographics shift, it affects the kind of content people are into, and the algorithm pays attention to what's popular and relevant. TikTok's recommendation system is set up to stay on top of new trends, cultural changes, and shifts in what users are into.
The algorithm looks at how users interact social signals to figure out what content connects best with specific demographics. This helps the algorithm show content that's more likely to grab the attention and interest of users within those demographics.
When demographics shift, it affects the kind of content people are into, and the algorithm pays attention to what's popular and relevant. TikTok's recommendation system is set up to stay on top of new trends, cultural changes, and shifts in what users are into.
The algorithm looks at how users interact social signals to figure out what content connects best with specific demographics. This helps the algorithm show content that's more likely to grab the attention and interest of users within those demographics.
