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.