I don't see any details about its algorithm, just that they use a recommendation engine? Things like this aren't proprietary info, they're just how recommendation engines work:
"Once TikTok collects enough data about the user, the app is able to map a user's preferences in relation to similar users and group them into "clusters." Simultaneously, it also groups videos into "clusters" based on similar themes, like "basketball" or "bunnies.""
Although I do wonder, and maybe someone else with more experience could shed some light here, whether or not it is likely that TikTok has some fundamentally super advanced algorithm, or if they just do a better job of collecting data/training & evaluating their models?
"Once TikTok collects enough data about the user, the app is able to map a user's preferences in relation to similar users and group them into "clusters." Simultaneously, it also groups videos into "clusters" based on similar themes, like "basketball" or "bunnies.""
Although I do wonder, and maybe someone else with more experience could shed some light here, whether or not it is likely that TikTok has some fundamentally super advanced algorithm, or if they just do a better job of collecting data/training & evaluating their models?