@@ -4,6 +4,17 @@ This is an implementation of WideDeep as described in the [Wide & Deep Learning
...
@@ -4,6 +4,17 @@ This is an implementation of WideDeep as described in the [Wide & Deep Learning
WideDeep model jointly trained wide linear models and deep neural network, which combined the benefits of memorization and generalization for recommender systems.
WideDeep model jointly trained wide linear models and deep neural network, which combined the benefits of memorization and generalization for recommender systems.