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Model Training
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.
Here’s a high-level breakdown of how a typical two-tower model is structured:
- Query Tower
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