US 11,989,182 B2
Systems and method for dynamically updating materiality distributions and classifications
Greg Paul Bala, Auburn, CA (US); Michael Alfred Flowers, Alameda, CA (US); Adam L. Salvatori, Cortlandt Manor, NY (US); Sebastian Brinkmann, San Francisco, CA (US); Stephen Malinak, Napa, CA (US); Eli Reisman, Berkeley, CA (US); Andrew Shipley, Brooklyn, NY (US); Mark Strehlow, San Francisco, CA (US); Hendrik Bartel, San Francisco, CA (US); Philip Kim, Redwood City, CA (US); James Hawley, Oakland, CA (US); and Edwin Kuh, New York, NY (US)
Assigned to TruValue Labs, INC., San Francisco, CA (US)
Filed by TRUVALUE LABS, INC., San Francisco, CA (US)
Filed on Jan. 12, 2021, as Appl. No. 17/146,822.
Claims priority of provisional application 62/960,687, filed on Jan. 13, 2020.
Prior Publication US 2021/0216542 A1, Jul. 15, 2021
Int. Cl. G06F 16/2455 (2019.01)
CPC G06F 16/2455 (2019.01) 5 Claims
OG exemplary drawing
 
1. A data analysis system, comprising:
a processor and a memory;
the processor is configured to ingest content from a plurality of data sources with the content comprising a plurality of observables relevant to an entity, wherein each observable from the plurality of observables is related to at least one feature of interest from a plurality of features of interest;
the processor is further configured to tag the observables with an entity identifier in response to the observables referencing at least one of an entity, a tradename associated with the entity, or product associated with the entity;
the processor is further configured to tag an observable from the plurality of observables in response to the feature of interest being related to the observable, wherein the analysis engine measures a materiality of the feature of interest to the entity by counting a number of observables from the plurality of observables tagged with the entity identifier;
the processor is further configured to generate measurability mechanisms based on the tags to create a materiality signature for the entity for a time period during which the plurality of observables were received;
the processor is further configured to create dynamic materiality using the materiality signature for the entity as a function of time; and
the processor is further configured to measure a materiality of a particular event using the dynamic materiality;
wherein the analysis engine is configured to:
cluster the plurality of observables using a clustering technique;
assign a plurality of signatures to the clusters; and
affinitize the signatures using a metric techniques.