Matrix transformation and decomposition commodity recommendation method based on point cut set graph segmentation

The invention discloses a matrix transformation and decomposition commodity recommendation method based onpoint cut set graph segmentation. The method comprises the following steps: 1) acquiring basic data, and constructing an original scoring matrix; 2) converting the original scoring matrix into a bilateral block diagonal matrix by using a cut set graph segmentation algorithm based on community discovery, and splicing bilateral and diagonal blocks of the bilateral block diagonal matrix into a block diagonal matrix containing a plurality of sub-matrixes; 3) based on sub-matrixes in the spliced block diagonal matrix, executing a matrix decomposition algorithm to obtain a set of decomposition results; 4) predicting a blank score according to a set of decomposition results to obtain an approximate matrix of the original matrix; and 5) carrying out personalized commodity recommendation on the user according to the approximate matrix. According to the method, a matrix decomposition method based on a bilateral blo