US 12,093,928 B2
System and method for valuing and regulating a data asset backed cryptocurrency
David Brener Kahn, Princeton, NJ (US); and Sorat Tungkasiri, Skillman, NJ (US)
Assigned to DataCoining LLC, Princeton, NJ (US)
Filed by David Brener Kahn, Princeton, NJ (US); and Sorat Tungkasiri, Skillman, NJ (US)
Filed on Mar. 23, 2022, as Appl. No. 17/702,775.
Claims priority of provisional application 63/293,019, filed on Dec. 22, 2021.
Claims priority of provisional application 63/274,137, filed on Nov. 1, 2021.
Claims priority of provisional application 63/164,648, filed on Mar. 23, 2021.
Prior Publication US 2022/0309489 A1, Sep. 29, 2022
Int. Cl. G06Q 20/36 (2012.01); G06Q 30/0201 (2023.01); G06Q 40/04 (2012.01)
CPC G06Q 20/367 (2013.01) [G06Q 30/0206 (2013.01); G06Q 40/04 (2013.01); G06Q 2220/16 (2013.01)] 37 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
executing, by first computing devices, a browser that enables users to access the Internet;
enabling the users via the browser to opt into the browser to collect generate respective raw data sets as the users use the browser to perform activities on the Internet;
collecting, by the browser, opt-in activities performed by the respective users on the Internet;
enabling, by the first computing devices, personal identifiable information (PII) of the users inclusive at least one of demographic and financial parameters to be submitted by the respective users;
receiving, by the first computing devices, at least a portion of the PII submitted by respective users;
generating, by the first computing devices, raw data sets representative of activities performed by respective users while each of the users using the browser is performing the activities on the Internet;
storing the raw data sets in data structures associated with respective users, the raw data sets defining unique expressions of the activities performed by the respective users;
executing a classification engine to automatically classify the raw data sets of the respective users;
executing a digital footprint engine to process the classified raw data sets of the users to generate respective digital footprints;
calculating, by individual data value calculators being executed by respective first computing devices, individual data value of respective users as a function of the digital footprints, wherein calculating individual data value includes calculating individual data value using both the at least a portion of the PII and at least a portion of the raw data sets used to generate the digital footprints of the respective users;
forming tokens for respective users as a combination of the digital footprint and individual data value; and
enabling the tokens to directly or indirectly communicate with one another by an application using artificial intelligence and/or machine learning to receive and respond to commercial offers or social interactions.