jillwalker99

Thank you for your feedback @patrickorlando. Would that mean that the linked model belongs to the category of class Neural Collaborative Filtering? Is the linked model a ranking model because...

@OmarMAmin I think this depends primarily on the serving time - if this is still in line with the number of candidates, the ranking model should be sufficient.

@patrickorlando thanks again :) Do you know of any other papers or explanations of the Two-Tower Model being developed in the Tensorflow Guides - to understand the architecture and system...

Hi @patrickorlando I have two questions again 1. Where is the dot product calculated within the Two Tower Model in Tensorflow (https://www.tensorflow.org/recommenders/examples/basic_retrieval)? 2. the Two Tower Model is a classification...

Thank you very much for your help @patrickorlando . So for each user it tries to predict the class (candidate / item). The correct class is the positive interaction of...

Hi @patrickorlando is it correct to add a dropout layer for the query model and the candidate_model or what would be the right approach here? `self.candidate_model= tf.keras.Sequential([ Item_Model(), tf.keras.layers.Dropout(0.1), tf.keras.layers.Dense(64)])...

Thank you @patrickorlando do you mean the "kernel_regularizer=tf.keras.regularizers.L2(0.001)" or how is it possible to implement L2 normalization? What exactly does the L2 normalization do - I thought it allowed, among...

thanks again :) would it make sense to also use kernel_regularizer for the other hidden layers?

> @hkristof03 would you mind sharing some sample code where you use keras tuner to tune the towers and specifically the temperature? I'm having some trouble figuring out how to...