A Dual Augmented Two-tower Model for Online Large-scale Recommendation

A Deep Dive into Meituan’s Two-tower Retrieval Model

Recommendation systems are algorithms that are designed to provide personalized suggestions to users. These systems are employed in various domains to help users discover relevant items, such as products (e-commerce like Amazon), other users (social media like X, LinkedIn), content (social media like X, Instagram, Reddit), or information (news apps or social media like X, Reddit or platforms like Medium and Quora), based on their preferences, behavior, or context. Recommendation systems aim …

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