Created by: lcy-seso

Factorization machines can be compared to support vector machines (SVMs) with a polynomial kernel, which is highly used in recommendation problem to estimate more complex interactions (2-order or even higher).

FM helps to make learning interactions among large-scale categorical features tractable.