888.470760_415140.lt. Page

Explain the in more detail (which also uses deep learning). Find the open-source code for the Wide & Deep model.

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 888.470760_415140.lt.

A deep feed-forward neural network is used, which generalizes better to unseen feature combinations by learning low-dimensional dense embeddings for sparse features [1606.07792]. Explain the in more detail (which also uses deep learning)

Discuss the used in the model (e.g., user, context, item features). 888.470760_415140.lt.