Difference between revisions of "Singular value decomposition"

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== See Also ==
 
== See Also ==
 
* [[SVD++]] is a generalization of matrix factorization to make use of implicit feedback.
 
* [[SVD++]] is a generalization of matrix factorization to make use of implicit feedback.
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[[Category:Method]]

Revision as of 02:37, 12 November 2011

SVD refers to singular value decomposition in linear algebra. However, in the field of collaborative filtering, SVD often means Matrix factorization.

SVD in Math

The traditional SVD can also be used as collaborative filtering algorithm. It's also named Latent Semantic Indexing(LSI) in IR.

SVD as Matrix Factorization

Please refer to Matrix factorization

See Also

  • SVD++ is a generalization of matrix factorization to make use of implicit feedback.