Jeremy - In the deep learning implementation of collaborative filtering the input is concatenated embedding of user and items, however my understanding is that the model is not learning the embedding matrix here, instead it's learning the weights (176 100) in the first layer and (100 1) in the second layer. Am I missing something? Appreciate your inputs.
Jeremy - In the deep learning implementation of collaborative filtering the input is concatenated embedding of user and items, however my understanding is that the model is not learning the embedding matrix here, instead it's learning the weights (176 100) in the first layer and (100 1) in the second layer. Am I missing something? Appreciate your inputs.