Methods and systems for connecting food interests with food providers
AssigneeKpn Innovations, LLC.
InventorKenneth Neumann
Life of this patent
Estimating the term…
Abstract
A system for, and method of, generating textual outputs based on descriptor classifications, including a computing device configured to receive a specified location and a nourishment intake theme from a remote device, generate, as a function of a group machine-learning model, a user group theme for the first remote device, identify at least a food provider located within the specified location, determine, as a function of an descriptor machine-learning model, a descriptor classification for the first remote device and generate at least an user interface element at the first remote device as a function of the descriptor classification.
Claims20
A system for generating textual outputs based on descriptor classifications, the system comprising a computing device, the computing device designed and configured to:
- receive an input from a first remote device of a plurality of remote devices, wherein the input comprises a specified location and a nourishment intake theme;
- generate, as a function of a group machine-learning model, a user group theme for the first remote device, wherein the group machine-learning model receives the nourishment intake theme and the specified location as an input, and outputs the user group theme;
- identify at least a food provider located within the specified location;
- determine, as a function of a descriptor machine-learning model, a descriptor classification for the first remote device, wherein the advertisement machine-learning model receives the at least a food provider and the user group theme as input and outputs the descriptor classification;
- and
- generate at least a user interface element at the first remote device as a function of the descriptor classification.
A method of generating textual outputs based on descriptor classifications, the method comprising:
- receiving, by a computing device, an input from a first remote device of a plurality of remote devices, wherein the input comprises a specified location and a nourishment intake theme;
- generating, by the computing device, a user group theme for the first remote device as a function of a group machine-learning model, wherein the group machine-learning model receives the nourishment intake theme and the specified location as an input, and outputs the user group theme;
- identifying, by the computing device, at least a food providers located within the specified location;
- determining, by the computing device, a descriptor classification for the first remote device as a function of a descriptor machine-learning model, wherein the descriptor machine-learning model receives the at least a food provider and the user group theme as input and outputs the descriptor classification;
- and
- generating, by the computing device, at least a user interface element at the first remote device as a function of the descriptor classification.
Dependencies are inferred from the claim text.