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Results tagged with svd
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user 21426
Singular value decomposition (SVD) of a matrix $\mathbf{A}$ is given by $\mathbf{A} = \mathbf{USV}^\top$ where $\mathbf{U}$ and $\mathbf{V}$ are orthogonal matrices and $\mathbf{S}$ is a diagonal matrix.
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Compute the user and item features in SVD++
As you said SVD can be used to factorize a full matrix without missing value. … This is your simple SVD in context with recommender system. …
