Question: What advantage does matrix factorization have in recommendation systems? It uses stochastic gradient descent for optimization It accounts for latent features in the user and

What advantage does matrix factorization have in recommendation systems?
It uses stochastic gradient descent for optimization
It accounts for latent features in the user and item matrices
It is based on the concept of singular value decomposition
It is a popularity-based recommendation system

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