Parallel matrix factorization for binary response

Predicting user affinity to items is an important problem in applications like content optimization, computational advertising, among others. While matrix factorization methods provide state-of-the-art performance when minimizing RMSE through a Gaussian response model on explicit ratings data, apply... View More