Collaborative Filtering, Matrix Factorization, Recommender Systems, Gradient Descent, Neural Networks.
between the latent users and items (U and V). The non-linear version is free to figure out its own parameterized similarity metric. Now to the Good Suff: The Linear Gradient Descent Optimized Model (From Scratch and with Pytorch) As mentioned earlier, gradient descent needs a loss function that