888.470760_415140.lt.

The query likely refers to the seminal 2016 paper published by researchers at Google [1606.07792]. This paper introduced a model that combines the strengths of linear models (memorization) and deep neural networks (generalization) to improve recommendation quality. Core Concepts of the "Wide & Deep" Paper

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

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: The query likely refers to the seminal 2016

Online experiments showed that "Wide & Deep" significantly increased app acquisitions compared to models that used either approach alone [1606.07792]. 888.470760_415140.lt.