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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.


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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.


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