888.470760_415140.lt. Info

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].

The model was heavily used for app recommendations on the Google Play Store [1606.07792]. 888.470760_415140.lt.

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]. A deep feed-forward neural network is used, which

Recommender systems often struggle to balance memorization (learning frequent, specific co-occurrences of items/features) and generalization (recommending items that haven't explicitly appeared together in the training data) [1606.07792]. 888.470760_415140.lt.