New answers tagged embeddings
0
You should reshape your numerical layers so that they have a shape (None,4,4,1). To concatenate, you need the all but one axis to be equal.
If you use:
tf.keras.layers.Reshape((4,4,1))(num_input)
this should work.
0
Making predictions for new users is often called the cold start problem.
This problem is difficult to over come in a purely item-to-item recommendation system. The most common solution is to include more than just item interaction information. Examples include user profile information and item content information.
Top 50 recent answers are included
