US12602661B2 System for Searching and Correlating Online Activity with Individual Classification Factors
Summary
USPTO granted Patent US12602661B2 to FAMA Technologies, Inc. on April 14, 2026. The patent covers a system for obtaining attributes associated with individuals being screened for conduct categories, obtaining multiple disparate data sets, transforming them into a standard data structure, and using algorithms to determine associations with conduct categories. The patent contains 22 claims and was filed on November 30, 2016 as Application No. 15365209.
What changed
USPTO issued Patent US12602661B2 to FAMA Technologies, Inc., covering methods and systems for screening individuals by correlating online activity with classification factors. The patent describes obtaining attributes for individuals being screened, gathering multiple data sets in disparate forms, transforming those sets into a standard data structure, and using algorithmic processing to determine associations with conduct categories. The system applies machine learning techniques including neural networks and classification algorithms.
Assignees and licensees of this patent should ensure their screening, monitoring, or data correlation systems do not infringe the granted claims. Inventors and IP professionals should document the filing date of November 30, 2016 for prior art purposes. The broad claim scope covering data transformation and algorithmic classification may affect vendors of employee screening, background check, or behavioral analytics solutions.
Archived snapshot
Apr 19, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
System for searching and correlating online activity with individual classification factors
Grant US12602661B2 Kind: B2 Apr 14, 2026
Assignee
FAMA Technologies, Inc.
Inventors
Benjamin Yale Mones, Collin James Scangarella, Alec Serge Andronikov
Abstract
An attribute associated with an individual being screened for a category of conduct is obtained. A first set of data associated with the individual is obtained, based at least in part on the attribute, with a form of the first set of data being one of a plurality of disparate forms. A second set of data associated with the individual is obtained, based at least in part on the attribute, with a form of the second set of data being different from the form of the first set of data. The first set of data and the second set of data are transformed into a standard data structure. Contents of the standard data structure are input to an algorithm. A result from the algorithm is received that indicates that the individual is associated with the category of conduct, and the result is output to a user interface.
CPC Classifications
G06Q 10/1053 G06Q 50/01 G06Q 10/00 G06Q 30/0203 G06Q 10/04 G06Q 10/067 G06Q 30/0282 G06Q 10/06 G06Q 10/087 G06Q 30/00 G06Q 10/40 G06F 16/285 G06F 16/25 G06F 16/258 G06F 16/24578 G06F 16/2462 G06F 19/321 G06F 19/325 G06F 11/3438 G06F 16/93 G06F 16/953 G06F 16/9558 G06F 16/957 G06F 2201/81 G06F 21/6245 G06F 16/00 G06F 16/2358 G06F 16/24573 G06F 16/24575 G06F 16/337 G06F 16/904 G06F 16/9535 G06F 11/1471 G06F 11/2071 G06F 11/2074 G06F 11/2076 G06F 16/2379 G06F 16/273 G06F 2201/84 G06F 2201/855 G06F 18/214 G06F 18/2411 G06F 40/30 G06F 9/44 G06N 20/00 G06N 5/025 G06N 20/10 G06N 5/022 G06N 5/04 G06N 3/045 G06N 3/047 G06N 3/084 G06N 7/01 H04L 63/10 G06K 9/6218 G06K 9/6267 G06V 10/764 G06V 10/774
Filing Date
2016-11-30
Application No.
15365209
Claims
22
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