Matrix Decompositions has a long history and generally centers around a set of known factorizations such as LU, QR, SVD and eigendecompositions.More recent factorizations have seen the light of the

from：http://sina2sohu.diandian.com/post/2012-08-17/40035658104矩阵分解是最近几年比较火的算法，经过kddcup和netflix比赛的多人多次检验，矩阵分解可以带来更好的结果，而且可以充分地考虑各种因素的影响，有非常好的扩展性，因为要考虑多种因素的综合作用，往往需要构造cost function来将矩阵分解问题转化为优化问题，根据要考