MMD_4c_LatentFactor
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deal more generally with the problem of decomposing very large matrices into products of matrices with at least one small dimension. The small dimension corresponds to the hidden factors like movie genre.
- more on svd
- how to query
- relation to eigen-decomposition
- drabacks
- CUR
- Latent factor model
- netflix prize
- local and global effects
- rmse of various methods
- Latent factor RS
- model
- differ with svd
- finding latent factor
more on svd
how to query
relation to eigen-decomposition
drabacks
CUR
Latent factor model
netflix prize
local and global effects
rmse of various methods
Latent factor RS
model
differ with svd
svd需要矩阵A的元素都有,不能有missing value
,但是latent factor analysis
没有这些要求。
finding latent factor
0 0
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