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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.
The text was updated successfully, but these errors were encountered:
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.
The text was updated successfully, but these errors were encountered: