	US 11,709,848 B2
	Focused probabilistic entity resolution from multiple data sources
Andrew Poh, San Francisco, CA (US); Anshuman Prasad, New York, NY (US); James Ding, New York, NY (US); John Holgate, Washington, DC (US); Ranajay Sen, Palo Alto, CA (US); and Shuo Zheng, New York, NY (US)
Assigned to Palantir Technologies Inc., Denver, CO (US)
Filed by Palantir Technologies Inc., Denver, CO (US)
Filed on Apr. 4, 2022, as Appl. No. 17/657,907.
Application 17/657,907 is a continuation of application No. 16/562,201, filed on Sep. 5, 2019, granted, now 11,294,915.
Application 16/562,201 is a continuation of application No. 15/242,335, filed on Aug. 19, 2016, granted, now 10,437,840, issued on Oct. 8, 2019.
Prior Publication US 2022/0365938 A1, Nov. 17, 2022
Int. Cl. G06F 7/02 (2006.01); G06F 16/00 (2019.01); G06F 16/2457 (2019.01); G06F 3/04842 (2022.01); G06F 16/2455 (2019.01); G06F 16/93 (2019.01); G06F 16/335 (2019.01)

CPC G06F 16/24578 (2019.01) [G06F 3/04842 (2013.01); G06F 16/2455 (2019.01); G06F 16/335 (2019.01); G06F 16/93 (2019.01)]

20 Claims

1. A computer-implemented method, comprising:

retrieving a plurality of data objects;

creating an aggregated data object for an entity, wherein creating the aggregated data object for the entity comprises:

determining a confidence value for an association between one or more of the plurality of data objects and the entity based at least in part upon one or more attribute types and attribute values associated with the one or more data objects; and

generating metadata associating the one or more data objects with the entity based at least in part on the confidence value, wherein the metadata is stored separately from the one or more data objects;

receiving one or more events associated with the aggregated data object;

calculating a score for the aggregated data object based at least in part on an attribute from the one or more events; and

providing an alert associated with the score substantially in real time in response to receiving the one or more events.