Understanding the Two-Tower Model in Personalized Recommendation Systemsby@jianqiaocheng
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Understanding the Two-Tower Model in Personalized Recommendation Systems

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The Two-Tower model is widely used in the recommendation system retrieval stage nowadays. The idea is quite simple for this model architecture; it consists of two fully separated towers. Through deep neural networks, the model is able to learn high-level abstract representations for both a user and an item.
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@jianqiaocheng

jianqiao cheng

machine learning


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