MMD_4b_SVD

The idea that there is a small number of hidden factors that characterize both individuals and items. An example(which surprisingly turns out not to be very effective as a predictor) is to categorize movies by genres and at the terrazzo what genres individual viewers like. However, there are algorithms for handling large amounts of data and finding a small number of good hidden factors to characterize both individuals and the items they like.

Dimensionality Reduction

SVD

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Dimensionality Reduction with SVD

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