Extracting relevant features from electronic marketing data for training analytical models

摘要

In certain embodiments, an analytical application accesses electronic marketing data that is automatically generated by interactions with marketing communications. The analytical application represents the set of electronic marketing data as a data matrix, in which columns of the matrix correspond to features of the data set. The analytical application selects a constraint for a singular value decomposition of the initial matrix and performs the singular value decomposition with the constraint. The constrained singular value decomposition derives, from the initial matrix, a matrix of singular vectors having a threshold number of rows with non-zero coefficients. The analytical application identifies certain columns from the initial matrix that correspond to the rows of the derived matrix with the non-zero coefficients and selects the features corresponding to those columns. The analytical application trains the analytical model using the selected features.