Collaborative Filtering, Matrix Factorization, Recommender Systems, Gradient Descent, Neural Networks.
these latent matrices by minimizing the gradient of a loss function (loss between the ground truth and reconstructed ratings) with respect to each latent matrix. How do Linear and Non-Linear Matrix Factorization Models Relate? Firstly, it’s important to get the notation and high-level concepts down