A central challenge for any recommendation algorithm is the tradeoff between safe but somewhat boring recommendations that are similar to recommendations that worked well in the past (“exploitation”), and risky recommendations that are unlikely to be good but have a high payoff if they do turn out to be good (“exploration”). Explorat

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There have been hundreds of investigative reports, technical analysis, research whitepapers, statistical studies, PhD dissertations, and more about how TikTok’s secretive recommendation algorithm works. TikTok’s recommendation system is without a doubt incredibly complex and impressive, but so too are the recommenders that Facebook, Instagram, and ... See more