Method and system for address verification

1. A method, comprising:

receiving an unverified address;

parsing the unverified address into a set of address elements using a parser;

generating a candidate address set based on the set of address elements;

determining an address comparison set from an address database based on the candidate address set using a hierarchical search, comprising:

determining whether a zip code for a candidate address of the candidate address set is within a set of zip codes associated with a city for the candidate address; and

adding a set of addresses associated with the zip code from the address database to the address comparison; and

selecting an intended address based on a distance metric between an address from the address comparison set and the unverified address, wherein a physical asset is delivered to the intended address without human-in-the loop verification of the intended address.

2. The method of claim 1 , wherein the unverified address is received as a string, wherein the string comprises a sequence of characters.

3. The method of claim 1 , wherein receiving the unverified address comprises standardizing the unverified address.

4. The method of claim 3 , wherein standardizing the unverified address comprises at least one of:

adjusting a lowercase character into an uppercase character,

removing a punctuation character,

abbreviating a suffix, or

abbreviating a state name to a state name abbreviation.

5. The method of claim 1 , wherein generating the candidate address set based on the set of address elements comprises mutating the address elements within the set of address elements to generate the candidate address set.

6. The method of claim 5 , wherein mutating the address elements comprises converting an existing address element of the unverified address into a phonetic encoding using a phonetic algorithm, and wherein a candidate address is generated by replacing the existing address element with a new address element associated with the phonetic encoding.

7. The method of claim 1 , wherein the parser comprises a machine learning model.

8. The method of claim 1 , wherein determining an address comparison set from an address database based on the candidate address set further comprises querying the address database based on an address element of a candidate address of the candidate address set.

9. The method of claim 8 , wherein determining the address comparison set further comprises performing a query on the returned address set that provides a primary number, wherein the query comprises a candidate address within the candidate address set.

10. The method of claim 1 , wherein selecting the intended address further comprises using a machine learning model comprising a support vector machine.

11. The method of claim 1 , wherein the distance metric for the intended address is below a predetermined threshold.

12. The method of claim 1 , wherein the distance metric comprises a Levenshtein distance.

13. The method of claim 1 , further comprising facilitating printing and delivering a physical asset to the intended address.

14. A system for verifying an unverified address associated with a recipient for an asset, comprising:

an address entry component, configured to:

ingest the unverified address in a single action from a sender; and

in response to the single action, send the unverified address to a processing system configured to:

receive the unverified address;

parse the unverified address into a set of address elements using a parser;

generate a candidate address set based on the set of address elements;

determine an address comparison set from an address database based on the candidate address set using a hierarchical search, comprising:

determining whether a zip code for a candidate address of the candidate address set is within a set of zip codes associated with a city for the candidate address; and

adding a set of addresses associated with the zip code from the address database to the address comparison set; and

select an intended address based on a distance metric between an address from the address comparison set and the unverified address, wherein the intended address is selected automatically, without human input.

15. The system of claim 14 , wherein the unverified address is a string, wherein the string comprises a sequence of characters.

16. The system of claim 14 , wherein the parser is trained using active learning.

17. The system of claim 14 , wherein the candidate address set is generated by mutating the address elements within the set of address elements to generate the candidate address set.

18. The system of claim 14 , wherein the intended address is selected using a machine learning model.

19. The system of claim 14 , wherein the distance metric comprises a string distance metric.

20. The system of claim 14 , wherein the distance metric comprises a cosine distance.