Granted Patent B2

US 12,216,617 · App. 18/117,575 · Granted Feb 4, 2025

Inventors: Paul David Goldman (New York, NY); Collin Robert White (Mount Juliet, TN); Quentin Nicholas Bradley (Nashville, TN); Justin David Ahmanson (Fort Collins, CO)

Assignee: Muserk, LLC

G06F16/148G06F16/116G06F16/65G06F21/12G06F21/1012

Abstract

Claims (30)

1. A method for matching and delivering digital work metadata to one or more digital service providers, comprising:

under control of one or more processors configured with executable instructions,

modifying one or more digital work metadata files, wherein the modifying one or more digital work metadata files includes removing non-critical data or segment-erroneous data or performing a language translation;

reformatting the one or more digital work metadata files for compatibility with a transformer model-based artificial intelligence matching operation;

performing a block grouping operation on the one or more digital work metadata files, wherein data associated with the one or more digital work metadata files is grouped in blocks and analyzed for one or more pairs of data records;

performing the transformer model-based artificial intelligence matching operation on the one or more pairs of data records to determine whether each pair of the one or more pairs of data records comprise a matching pair of data records; and

transmitting output data from the transformer model-based artificial intelligence matching operation to the one or more digital service providers.

2. The method of claim 1 , wherein the one or more digital work metadata files are sound recording metadata files.

3. The method of claim 1 , wherein the transformer model-based artificial intelligence matching operation includes matching one or more underlying criteria, the one or more underlying criteria including composition title, composition writer, sound recording title, or sound recording artist.

4. The method of claim 1 , wherein the output data is transmitted to the one or more digital service providers via one or more third party application programming interfaces.

5. The method of claim 1 , further comprising transmitting the output data to a rights administration dashboard prior to transmission to the one or more digital service providers.

6. The method of claim 1 , further comprising converting the output data into a data standard format compatible with each of the one or more digital service providers prior to transmission to the one or more digital service providers.

7. The method of claim 1 , further comprising performing a second artificial intelligence matching operation on the one or more pairs of data records, the second artificial intelligence matching operation based on a Dedupe Python library.

8. The method of claim 1 , wherein the transformer model-based artificial intelligence matching operation is performed on a cloud infrastructure.

9. A system configured to match and deliver digital work metadata to one or more digital service providers, comprising:

one or more processors;

one or more non-transitory computer-readable media; and

one or more modules maintained on the one or more non-transitory computer-readable media that, when executed by the one or more processors, cause the one or more processors to perform operations including:

modifying one or more digital work metadata files, wherein the modifying one or more digital work metadata files includes removing non-critical data or segment-erroneous data or performing a language translation;

reformatting the one or more digital work metadata files for compatibility with a transformer model-based artificial intelligence matching operation;

performing a block grouping operation on the one or more digital work metadata files, wherein data associated with the one or more digital work metadata files is grouped in blocks and analyzed for one or more pairs of data records;

performing the transformer model-based artificial intelligence matching operation on the one or more pairs of data records to determine whether each pair of the one or more pairs of data records comprise a matching pair of data records; and

transmitting output data from the transformer model-based artificial intelligence matching operation to the one or more digital service providers.

10. The system of claim 9 , wherein the one or more digital work metadata files are sound recording metadata files.

11. The system of claim 9 , wherein the transformer model-based artificial intelligence matching operation includes matching one or more underlying criteria, the one or more underlying criteria including composition title, composition writer, sound recording title, or sound recording artist.

12. The system of claim 9 , wherein the output data is transmitted to the one or more digital service providers via one or more third party application programming interfaces.

13. The system of claim 9 , further comprising an additional operation of transmitting the output data to a rights administration dashboard prior to transmission to the one or more digital service providers.

14. The system of claim 9 , further comprising an additional operation of converting the output data into a data standard format compatible with each of the one or more digital service providers prior to transmission to the one or more digital service providers.

15. The system of claim 9 , further comprising an additional operation of performing a second artificial intelligence matching operation on the one or more pairs of data records, the second artificial intelligence matching operation based on a Dedupe Python library.

16. The system of claim 9 , wherein the transformer model-based artificial intelligence matching operation is performed on a cloud infrastructure.

Assignments (1)

Continuity (3)

References Cited (16)