US Patent 10380458 Cold start machine learning algorithm

In an example embodiment, a first plurality of images stored on a computing device is identified, each image having an indication that it depicts a first member of a social networking service. The first plurality of images is used as training data to a first machine learning algorithm to train a first machine learning algorithm model corresponding to the first member, the first machine learning algorithm model corresponding to the first member designed to calculate a member likelihood score for a candidate image. Then a second plurality of images stored on the computing device is obtained. Each image of the second plurality of images is fed to the first machine learning algorithm model corresponding to the first member, obtaining a member likelihood score for each of the second plurality of images. Then, based on the member likelihood scores for the second plurality of images, one or more member images are selected.