US Patent 10244286 Recommending digital content objects in a network environment

Methods and apparatuses are described for recommending digital content in a network environment. A web server determines a session context of a user associated with a remote device in which the user interacted with digital content objects. The web server identifies prior content interactions in which prior users interacted with digital content objects. The web server builds a recommendation feature vector from the session context and the prior content interactions. The web server trains a machine learning model using the generated recommendation feature vector to minimize a predicted rating. The web server selects target digital content objects that have a predicted rating of the user that is at a threshold. The web server provides indicia of the selected digital content objects to the remote device. The web server causes at least one of the selected target digital content objects to be transmitted from a content server to the remote device.