The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 27, 2018

Filed:

Aug. 17, 2016
Applicant:

Palantir Technologies Inc., Palo Alto, CA (US);

Inventors:

Matthew Elkherj, Menlo Park, CA (US);

Xavier Falco, London, GB;

Pierre Cholet, New York, NY (US);

Giulio D'Ali' Aula, Milan, IT;

Andrew Ehrich, New York, NY (US);

Assignee:

Palantir Technologies Inc., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); G06F 17/30 (2006.01); G06Q 50/00 (2012.01);
U.S. Cl.
CPC ...
G06F 17/30345 (2013.01); G06F 17/30554 (2013.01); G06F 17/30557 (2013.01); G06Q 30/0255 (2013.01); G06Q 30/0271 (2013.01); G06Q 30/0282 (2013.01); G06Q 50/01 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a feature clustering of users, user correlation database access, and user interface generation system. The system can obtain information stored in different databases located across geographic regions, and determine unique users from the different information. The information can be included in unique records in the databases, with each record describing a particular user, and with each user described with imperfect identifying information. The system can analyze the different information utilizing machine learning models, and can associate each record with a particular unique user. The system can obtain identifications of items associated with each user, and determine the propensity of the user to disassociate with one or more items, or determine likelihoods of future association with different items not presently associated with the user.


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