Abstract: A system is described that relies on a sequence model, having been trained using features extracted from contextual information of a computing device, to determine characteristics of past user interactions that resulted in conversions of items from a computing system. Once trained, the sequence model generates a sequence output that is indicative of characteristics of future user interactions that will result in a future conversion of an item from the computing system. An existing prediction model of the system, having been further trained using the output from the sequence model, identifies a future context during which the future user interactions with the computing system will result in the future conversion. In response to recognizing the future context, the system outputs an indication of the item to facilitate the future conversion.