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Two-Tower Model
The “two-tower” model is a type of neural network model often used in recommender systems to predict the relevance or preference of items for a user based on some sort of context. The name comes from the model’s structure, which is typically visualized as two separate towers (subnetworks) that handle two different types of inputs.