# Regularization

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**Regularization** methods penalize high values for model parameters in order to avoid overfitting effects.
For example the optimization (minimization) problem for a matrix factorization model used in a recommender system typically contains a **penalty term** for the elements of the lower-rank matrices used to approximate the user-item matrix, e.g. via the Frobenius norm.