Patent ID: 11929161
Assignee: KPN INNOVATIONS LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. A method of displaying nutrimental artifacts on a user device wherein the method comprises:
receiving, by a display interface of the user device, a user input variable comprising at least a user nutrimental preference input, wherein the display interface, in response to receiving the user input variable, is configured to:
calculate a target allotment of a verified matter, wherein calculating the target allotment comprises:
retrieving a plurality of previous verified matters;
classifying each previous version of the plurality of previous verified matters to a matter category using a classification machine-learning process, wherein the classification machine-learning process utilizes a previous verified matter of the plurality of previous verified matters as an input, and outputs a matter category, and is trained using a training set including the plurality of previous verified matters correlated to a plurality of matter categories; and
generating the matter category for each of the plurality of previous verified matters as a function of the classification process;

receive, by the user device, from a provider, a plurality of nutrimental artifacts including an allotment value;
generate, by the user device, a filter set modifying the plurality of nutrimental artifacts, wherein generating the filter set modifying the plurality of nutrimental artifacts comprises:
retrieving a restricted nutrimental datum comprising at least a preference input;
training a machine learning algorithm using a training set, wherein the training set is configured to be organized by categories of the restricted nutrimental datum, and wherein the training set comprises data generated by previous iterations of the machine learning algorithm; and
generating the filter set using the trained machine learning algorithm and the preference input, wherein the machine learning algorithm receives the restricted nutrimental datum as an input and the filter set as an output, and generating a loss, wherein the loss is computed as an error function representing a degree of correctness of the filter set when compared to an input-output pair within the training data;

order, by the user device, the plurality of nutrimental artifacts as a function of a verified matter and the filter set; and
display, by the user device, the ordered plurality of nutrimental artifacts within the display interface.