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. 08, 2022

Filed:

Mar. 04, 2021
Applicant:

Inmarket Media, Llc, Culver City, CA (US);

Inventors:

John Raymond Klein, Benicia, CA (US);

Mark Christopher Dixon, Belmont, CA (US);

Clark Alan Burdick, Sunnyvale, CA (US);

Art Haedike, New Port Richey, FL (US);

Partha Chowdhury, Los Altos, CA (US);

Assignee:

INMARKET MEDIA, LLC, Culver City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/62 (2013.01); H04L 9/00 (2022.01); H04L 29/06 (2006.01); H04L 9/40 (2022.01);
U.S. Cl.
CPC ...
G06F 21/6218 (2013.01); H04L 9/008 (2013.01); H04L 63/0421 (2013.01); H04L 2209/08 (2013.01);
Abstract

Some implementations disclosed herein enable matching identifiers across multiple sources. This may involve adding a unique attribute (e.g., anonymous unique homomorphic identifiers) and/or using randomization to enable comparing data from multiple sources, while also maintaining data privacy. In one example, matches across multiple sources are identified, for example, identifying that there are 100 user identifiers that are in private data sets of three different sources. Such matching may be used to enable private, multi-touch attribution. In another example, techniques are used to determine that data maintained by one source is not also within other sources (e.g., identifying that there are 200 user identifiers that are in data from a first source but not in data from a second source and not in data from a third source. Such determinations may be used to generate control group data that does not match data from other sources.


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