Advantages and disadvantages of angel recommendation algorithm

Advantages: high prediction accuracy. Disadvantages: Model training is time-consuming.

It's hard to explain. Every dimension of the decomposed user and commodity matrix can't be explained by the concepts in real life, and every dimension can't be named by the concepts in real life, but can only be understood as a potential semantic space.

Matrix decomposition method maps the high-dimensional user-item scoring matrix into two low-dimensional user-item matrices, which solves the problem of sparse data.