IP Library Granted Patent US 11,917,060
Granted Patent B2
US 11,917,060 · App. 18/114,357 · Granted Feb 27, 2024

Apparatus and methods for mapping user-associated data to an identifier

Inventors: Arran Stewart (Austin, TX); Steve O'Brien (Raleigh, NC)
H04L9/088
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Quick Facts
Patent No.
US 11,917,060
App. No.
18/114,357
Granted
Feb 27, 2024
Kind
B2
Abstract

An apparatus and method for mapping user-associated data to an identifier. The apparatus includes a processor configured to store a plurality of user identifiers. User identifiers may be determined by way of user or by machine-learning modules or the like. Apparatus receives user-associated data from a user to be stored in a resource data storage system. User-associated data may include a plurality of data sets to be mapped to an identifier. Mapping a data set to an identifier may be user determined or use a machine-learning module. Apparatus is configured to update the immutable sequential listing associated with the data set with the mapped identifier.

Claims (30)

1. An apparatus for mapping user-associated data to an identifier, the apparatus comprising:

at least a processor; and

a memory communicatively connected to the processor, the memory containing instructions configuring the at least a processor to:

store a plurality of user identifiers on an immutable sequential listing, wherein each user identifier of the plurality of user identifiers is associated with a user role, wherein the plurality of user identifiers are autogenerated using a machine learning module as a function of a user role, wherein the machine learning module comprises a classifier configured to classify user-associated data into user roles from a list of roles;

receive, from a user, user-associated data to be stored in a resource data storage system;

classify the user-associated data to a user identifier of the plurality of user identifiers; and

cryptographically link user-associated data to the user identifier on the immutable sequential listing.

2. The apparatus of claim 1 , wherein the user role comprises a datum describing a position that the user has held.

3. The apparatus of claim 1 , wherein the user-associated data comprises a video resume.

4. The apparatus of claim 1 , wherein the plurality of user identifiers further comprises a plurality of user determined identifiers.

5. The apparatus of claim 1 , wherein each user identifier of the plurality of user identifiers is linked to a data set of a plurality of data sets.

6. The apparatus of claim 1 , further configured to split the user-associated data into a plurality of data sets.

7. The apparatus of claim 2 , wherein the datum describing the position that the user has held comprises an education degree.

8. The apparatus of claim 1 , wherein the at least a processor is further configured to validate the user-associated data using cryptography.

9. The apparatus of claim 1 , wherein the at least a processor is further configured to split using the classifier, the user-associated data into separate data sets.

10. The apparatus of claim 1 , wherein the at least a processor is further configured to use a cryptographic accumulator to generate a transaction linking the user-associated data to the user identifier.

11. A method for mapping user-associated data to an identifier, the method comprising:

storing on an immutable sequential listing, using at least a processor, a plurality of user identifiers, wherein each user identifier of the plurality of user identifiers is associated with a user role, wherein the plurality of user identifiers are autogenerated using a machine learning module and wherein the machine learning module comprises a classifier which classifies user-associated data into user roles from a list of roles;

receiving, using the at least a processor, user-associated data from a user to be stored in a resource data storage system;

classifying, using the at least a processor, the user-associated data to a user identifier of the plurality of user identifiers; and

cryptographically linking, using the at least a processor, user-associated data to the user identifier on the immutable sequential listing.

12. The method of claim 11 , wherein the user roles comprise a datum describing a position that a user has held.

13. The method of claim 11 , wherein the user-associated data comprises a video resume.

14. The method of claim 11 , wherein the plurality of user identifiers further comprises a plurality of user determined identifiers.

15. The method of claim 11 , further comprising linking, using the at least a processor, each user identifier of the plurality of user identifiers to a data set of a plurality of data sets.

16. The method of claim 11 , further comprises splitting, using the at least a processor, the user-associated data into a plurality of data sets.

17. The method of claim 12 , wherein the datum describing the position that a user has held comprises an education degree.

18. The method of claim 11 , further comprising validating, using the at least a processor, the user-associated data using cryptography.

19. The method of claim 16 , further comprising utilizing, by the at least a processor, the at least a classifier to split the user-associated data into separate data sets.

20. The method of claim 11 , further comprising utilizing, by the at least a processor, a cryptographic accumulator to generate a transaction linking the user-associated data to the user identifier.

Assignments (4)
CHANGE OF NAME Recorded May 20, 2026
From: JOBS ACQUISITION CO., LLC
To: JOB.COM LLC
Reel/Frame 075585/0715 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 20, 2026
From: MY JOB MATCHER, INC.
To: JOBS ACQUISITION CO., LLC
Reel/Frame 075586/0117 →
RELEASE OF SECURITY INTEREST Recorded May 19, 2026
From: LILY GRACE INVESTMENTS PTY LTD.
To: MY JOB MATCHER, INC.
Reel/Frame 075719/0236 →
SECURITY INTEREST Recorded May 20, 2025
From: MY JOB MATCHER, INC.; MJM TECH LIMITED
To: LILY GRACE INVESTMENTS PTY LTD
Reel/Frame 071336/0662 →
Continuity (2)
Continuation 17667628 · Feb 9, 2022
Related Publication 20230254139A1 · Aug 10, 2023