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Explain the in more detail (which also uses deep learning). Find the open-source code for the Wide & Deep model.
This architecture has since become a standard baseline for many recommendation tasks in industry, including those described in studies on YouTube recommendations [1606.07792]. If you'd like, I can: 888.470760_415140.lt.
The paper proposes training both components simultaneously rather than separately. This allows the model to optimize for both accuracy (via the wide component) and serendipity/novelty (via the deep component) [1606.07792]. Key Results & Impact Explain the in more detail (which also uses deep learning)
A wide linear model is used, which excels at memorizing sparse feature interactions (e.g., user clicked 'item A' and user is from 'location B') [1606.07792]. If you'd like, I can: The paper proposes
The model was heavily used for app recommendations on the Google Play Store [1606.07792].