Abstract: The present disclosure describes aspects of multitask user behavior prediction with content embedding. Prediction logic receives sequential data encoding actions performed by users while traversing navigable content, such as webpages of a website. The actions can correspond to multiple possible actions that can be taken by users at and/or within respective web pages over a time sequence. The prediction logic can implement a machine-learned (ML) network trained to jointly model multiple, sequential user actions and simultaneously predict multiple user actions based on and/or in response to user action sequences.