Patent ID: 9239987
Filing Date: 2016-01-19
CPC Classification: G06F,G06N,G06Q

Claim Text:
1. A computer-implemented method comprising: receiving a particular set of user data, the particular set of user data including user data obtained from a user device; obtaining a predictive model that comprises (i) a first sub-predictive model that estimates a likelihood that a user has already ordered, but has not yet consumed, food, and (ii) a second sub-predictive model that received, as an input, the likelihood that the user has already ordered, but has not yet consumed, food, and that estimates a likelihood of the user to order a food item, wherein the predictive model is generated using observation data that includes historic user data and user data from other user devices; providing the particular set of user data to the predictive model; obtaining, from the predictive model, an indication of the likelihood of the user to order the food item; based on the indication of the likelihood of the user to order the food item obtained from the predictive model, determining whether to output a notification on the user device inviting the user to order the food item; and in response to determining whether to output the notification on the user device inviting the user to order the food item, selectively outputting the notification on the user device inviting the user to order the food item.