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TikTok Unveils Its Algorithm Core: Proactive, Diverse Recommendations, and "Human + Machine" Collaborative Governance
2025-04-16 /
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Author：小编
TikTok has shed light on the underpinnings of its recommendation algorithm, which encompasses processes such as recall, filtering, and ranking, with a central focus on understanding user behavior. Leveraging advanced techniques like collaborative filtering, the dual-tower recall model, and the Wide&Deep model, TikTok's algorithm employs neural networks to anticipate user preferences and deliver high-value content. Furthermore, the algorithm incorporates an exploratory aspect aimed at breaking down "information silos." TikTok's recommendation system adopts a collaborative "human + machine" approach to risk management, striking a harmonious balance between algorithmic precision and a multi-faceted system.
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