Methods and systems for informing product decisions
AssigneeKpn Innovations, LLC.
InventorKenneth Neumann
Life of this patent
Estimating the term…
Abstract
A system for informing product decisions. The system includes a computing device configured to locate an article of interest for a user. The computing device is configured to receive a user biological extraction. The computing device is configured to generate using ingredient training data and a classification algorithm an ingredient metabolic classifier. The ingredient metabolic classifier inputs a user biological extraction and outputs an ingredient metabolic profile. The computing device identifies at least an ingredient contained within an article of interest. The computing device determines the tolerability of an article of interest as a function of a metabolic profile and at least an ingredient contained within an article of interest.
Claims20
A system for informing product decisions, the system comprising a computing device, the computing device designed and configured to:
- locate an article of interest for a user;
- receive a user biological extraction;
- generate an ingredient metabolic classifier, wherein the ingredient metabolic classifier comprises a machine-learning model trained by ingredient training data including a plurality of biological extractions and a plurality of correlated ingredient metabolic profiles and wherein the ingredient metabolic classifier is configured to receive the user biological extraction as an input and output an ingredient metabolic profile as a function of the ingredient training data;
- identify at least an ingredient contained within the article of interest;
- and
- generate a tolerability machine-learning model, wherein the tolerability machine-learning model comprises a trained machine-learning model configured to receive the metabolic profile and the at least an ingredient contained within the article of interest as inputs and output an article of interest tolerability label indicating a tolerability of the article of interest, wherein the tolerability of the article of interest identifies a second article of interest.
A method of informing product decisions, the method comprising:
- locating by a computing device an article of interest for a user;
- receiving by the computing device a user biological extraction;
- generating, by the computing device, an ingredient metabolic classifier, wherein the ingredient metabolic classifier comprises a machine-learning model trained by ingredient training data including a plurality of biological extractions and a plurality of correlated ingredient metabolic profiles and wherein the ingredient metabolic classifier is configured to receive the user biological extraction as an input and output an ingredient metabolic profile as a function of the ingredient training data;
- identifying by the computing device at least an ingredient contained within the article of interest;
- and
- generating, by the computing device, a tolerability machine-learning model, wherein the tolerability machine-learning model comprises a trained machine-learning model configured to receive the metabolic profile and the at least an ingredient contained within the article of interest as inputs and output an article of interest tolerability label indicating a tolerability of the article of interest, wherein the tolerability of the article of interest identifies a second article of interest.
Dependencies are inferred from the claim text.