# US 12,182,705 B2 · Methods and systems for biologically determined artificial intelligence selection guidance

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- Number: US 12,182,705 B2
- Document ID: US12182705B2
- Status: Granted
- Kind: B2
- Application number: 18/133,853
- Filed: 2023-04-12
- Published: 2023-08-10
- Granted: 2024-12-31
- Earliest claimed: 2020-01-31
- Assignees: Kpn Innovations, LLC.
- Applicants: Kpn Innovations, LLC.
- Inventors: Kenneth Neumann
- Web page: https://patentgrep.com/patent/US12182705B2

## CPC

- G06N 3/08: Learning methods
- G06N 7/01: Probabilistic graphical models, e.g. probabilistic networks
- G06N 3/09: Supervised learning
- G06N 20/00: Machine learning
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS

## Abstract

A system for biologically determined artificial intelligence selection guidance includes a computing device designed and configured to receive at least a biological extraction and an item descriptor from a user, generate, using a classification algorithm and a plurality of past extractions, a user classifier matching user data to user sets, identify, using the classifier and the element user data, a user set identifier matching the user, produce a selection guidance using the user set identifier and the item category identifier, and provide the selection guidance to the user.

## Claims

### Claim 1

A system for biologically determined artificial intelligence selection guidance, the system comprising a computing device designed and configured to:
receive at least a biological extraction and an item descriptor from a user;
generate, using a classification algorithm and a plurality of past extractions, a user classifier matching user data to user sets as a function of the at least a biological extraction;
identify, using the user classifier and the user data, a user set identifier matching the user;
produce a selection guidance using the user set identifier and the item descriptor;
determine whether the item descriptor is suitable for the user;
calculate a different item of the selection guidance as a function of determining whether the item descriptor is suitable for the user; and
provide the selection guidance to the user.

### Claim 2 (depends on 1)

The system of claim 1, wherein:
the selection guidance comprises a suitability score; and
determining whether the item descriptor is not suitable for the user comprises comparing the suitability score of the item descriptor to a threshold.

### Claim 3 (depends on 1)

The system of claim 1, wherein:
the suitability score comprises a user set suitability score; and
producing the selection guidance comprises calculating the user set suitability score as a function of the user set identifier and the item descriptor.

### Claim 4 (depends on 3)

The system of claim 3, wherein calculating the user set suitability score comprises:
receiving user set suitability training data comprising a plurality of user set identifiers correlated to the user set suitability score;
training a suitability model using the user set suitability training data; and
determining the user set suitability score as a function of the trained suitability model.

### Claim 5 (depends on 1)

The system of claim 1, wherein:
the suitability score comprises a user specific suitability score; and
producing the selection guidance comprises calculating the user specific suitability score as a function of a biological extraction, user data, and the item descriptor.

### Claim 6 (depends on 5)

The system of claim 5, wherein calculating the user specific suitability score comprises:
receiving user specific suitability training data comprising a plurality of biological extractions, past user data, and a plurality of item descriptors correlated to the user specific suitability score;
training a suitability model using the user specific suitability training data; and
determining the user specific suitability score as a function of the trained suitability model.

### Claim 7 (depends on 1)

The system of claim 1, wherein the computing device is further configured to:
receive an exclusion list from a user; and
remove the item descriptor from the selection guidance as a function of a presence of item descriptor on the exclusion list.

### Claim 8 (depends on 1)

The system of claim 1, wherein the computing device is further configured to decrypt the biological extraction.

### Claim 9 (depends on 8)

The system of claim 8, wherein decrypting the biological extraction comprises decrypting the biological extraction using a secure proof.

### Claim 10 (depends on 2)

The system of claim 2, wherein the computing device is further configured to place a recurring order for the different item as a function of the suitability score.

### Claim 11

A method for biologically determined artificial intelligence selection guidance, the method comprising:
receiving, by a computing device, at least a biological extraction and an item descriptor from a user;
generating, by the computing device, using a classification algorithm and a plurality of past extractions, a user classifier matching user data to user sets as a function of the at least a biological extraction;
identifying, by the computing device, using the user classifier and the user data, a user set identifier matching the user;
producing, by the computing device, a selection guidance using the user set identifier and the item descriptor;
determining, by the computing device, whether the item descriptor is not suitable for the user;
calculating, by the computing device, a different item of the selection guidance as a function of determining whether the item descriptor is not suitable for the user; and
providing, by the computing device, the selection guidance to the user.

### Claim 12 (depends on 11)

The method of claim 11, wherein:
the selection guidance comprises a suitability score; and
determining whether the item descriptor is not suitable for the user comprises comparing the suitability score of the item descriptor to a threshold.

### Claim 13 (depends on 11)

The method of claim 11, wherein:
the suitability score comprises a user set suitability score; and
producing the selection guidance comprises calculating the user set suitability score as a function of the user set identifier and the item descriptor.

### Claim 14 (depends on 13)

The method of claim 13, wherein calculating the user set suitability score comprises:
receiving user set suitability training data comprising a plurality of user set identifiers correlated to the user set suitability score;
training a suitability model using the user set suitability training data; and
determining the user set suitability score as a function of the trained suitability model.

### Claim 15 (depends on 11)

The method of claim 11, wherein:
the suitability score comprises a user specific suitability score; and
producing the selection guidance comprises calculating the user specific suitability score as a function of a biological extraction, user data, and the item descriptor.

### Claim 16 (depends on 15)

The method of claim 15, wherein calculating the user specific suitability score comprises:
receiving user specific suitability training data comprising a plurality of biological extractions, past user data, and a plurality of item descriptors correlated to the user specific suitability score;
training a suitability model using the user specific suitability training data; and
determining the user specific suitability score as a function of the trained suitability model.

### Claim 17 (depends on 11)

The method of claim 11, further comprising:
receiving, by the computing device, an exclusion list from a user; and
removing, by the computing device, the item descriptor from the selection guidance as a function of a presence of item descriptor on the exclusion list.

### Claim 18 (depends on 11)

The method of claim 11, further comprising decrypting, by the computing device, the biological extraction.

### Claim 19 (depends on 18)

The method of claim 18, wherein decrypting the biological extraction comprises decrypting the biological extraction using a secure proof.

### Claim 20 (depends on 12)

The method of claim 12, further comprising placing, by the computing device, a recurring order for the different item as a function of the suitability score.