US 12,008,053 B1
Correlating personal IDs to online digital IDs
Jonathan Zile, New York, NY (US); Sudarshan Mahanubhav, Metuchen, NJ (US); Avikal Satle, Jersey City, NJ (US); Ezra Suveyke, Port Washington, NY (US); and Jason Scheller, Chappaqua, NY (US)
Assigned to PulsePoint, Inc., Newark, NJ (US)
Filed by PulsePoint, Inc., New York, NY (US)
Filed on Aug. 31, 2021, as Appl. No. 17/463,125.
Claims priority of provisional application 63/072,876, filed on Aug. 31, 2020.
Int. Cl. G06F 16/00 (2019.01); G06F 16/951 (2019.01); G06F 16/957 (2019.01); G06F 16/958 (2019.01); G06N 5/04 (2023.01)
CPC G06F 16/951 (2019.01) [G06F 16/9577 (2019.01); G06F 16/958 (2019.01); G06N 5/04 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method, comprising the steps of:
at a computer, obtaining records of multiple digital events from multiple vendors of digital event records, each digital event record having a digital ID of a user that initiated the respective digital event;
at the computer, obtaining at least one list of professional registry numbers of professionals in a profession;
by the computer, classifying at least some portion of the digital event records and at least some internet web pages based on a standard taxonomical index;
by the computer, identifying correlated identification data points among the digital event records and the professional registry records, and based on the taxonomic classification of pages and digital events, to infer a correlation between digital IDs from digital event records and actual physical identities of physical persons, and computing a parameter reflecting a degree of certainty of the inference.