Menu Personalization

A server computer on a network, comprising:

• one or more processors;
• and
• a non-transitory computer-readable medium including instructions that, when executed by the one or more processors, cause the one or more processors to perform operations including:
• receiving, over the network, input corresponding to a request for a personalized item list, wherein the input includes a user identifier, and wherein the input is associated with a computing device on the network;
• reading a data store using the user identifier, the data store storing a plurality of data models associated with a plurality of user identifiers, each data model being customized based data associated with a respective user identifier, wherein reading the data store results in obtaining a particular data model associated with the user identifier;
• determining a geolocation associated with the user identifier;
• determining, using the geolocation, a list of items associated with an eatery, wherein the eatery is associated with the geolocation;
• inputting the list of items into the data model, wherein the data model outputs a selection probability for each item in the list of items;
• generating the personalized item list, the personalized item list including the list of items sorted according to the selection probability associated with each item;
• outputting the personalized item list onto the network for receipt by the computing device.

A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, including instructions that, when executed by one or more processors of a computing device on a network, cause the one or more processors to:

• receive, over the network, input corresponding to a request for a personalized item list, wherein the input includes a user identifier, and wherein the input is associated with a computing device on the network;
• read a data store using the user identifier, the data store storing a plurality of data models associated with a plurality of user identifiers, each data model being customized based data associated with a respective user identifier, wherein reading the data store results in obtaining a particular data model associated with the user identifier;
• determine a geolocation associated with the user identifier;
• determine, using the geolocation, a list of items associated with an eatery, wherein the eatery is associated with the geolocation;
• input the list of items into the data model, wherein the data model outputs a selection probability for each item in the list of items;
• generate the personalized item list, the personalized item list including the list of items sorted according to the selection probability associated with each item;
• output the personalized item list onto the network for receipt by the computing device.