1. A computer-implemented method for prioritizing a set of images identified as responsive to an image search query from a user based on features of the images identified as relevant to a geographic region of the user, the method comprising: submitting a plurality of images to a computer-operated convolutional neural network that is configured to analyze image pixel data for each of the plurality of images to identify features, in each of the plurality of images, influencing a download probability of the corresponding image in a plurality of geographic regions; and receiving, from the neural network and for each of the plurality of images, a download probability of each image for each of the plurality of geographic regions.