Systems and methods for model training based on feature fusion of multiple data types

Systems, methods, and computer readable storage media that may be used to train a model based on merged common features of two or more different data types. One method includes receiving a plurality of first data elements of a first data type and a plurality of second data elements of a second data type, identifying first features of each of the plurality of first data elements, identifying second features of each of the plurality of second data elements, generating merged features by combining a first feature of the first features of each of the plurality of first data elements with a second feature of the second features of one of the plurality of second data elements, wherein the first feature and the second feature each represent a common feature, and training a model based on the merged features and at least a portion of the first features and the second features.