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US Patent 11776010 Protected audience selection

Patent 11776010 was granted and assigned to Quantcast on October, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Quantcast
Quantcast
Current Assignee
Quantcast
Quantcast
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11776010
Patent Inventor Names
Paul G. Sutter
Damian John Reeves
Konrad S. Feldman
Date of Patent
October 3, 2023
Patent Application Number
17947721
Date Filed
September 19, 2022
Patent Citations
‌
US Patent 8468271 Providing privacy within computer networks using anonymous cookies
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US Patent 9183568 Using proxy behaviors for audience selection
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US Patent 8504575 Behavioral targeting system
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US Patent 7146329 Privacy compliant multiple dataset correlation and content delivery system and methods
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US Patent 7685191 Selection of advertisements to present on a web page or other destination based on search activities of users who selected the destination
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US Patent 7949565 Privacy-protected advertising system
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US Patent 8438170 Behavioral targeting system that generates user profiles for target objectives
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US Patent 8448057 Audience segment selection
Patent Primary Examiner
‌
John Van Bramer
CPC Code
‌
H04L 67/22
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G06Q 30/0246
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G06Q 30/0201
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G06Q 30/0255
Patent abstract

Protected audience selection system. Media consumption histories of browsers which have converted are received at a modeling system where targeting of browsers is prohibited. A model is built by determining a frequency of each respective media consumption event among the histories and comparing each determined frequency of a respective media consumption event to a frequency of the respective media consumption event among a population of browsers without the conversion event. The model is sent to a targeting system which excludes conversion events. A description of the conversion event is received at the targeting system. A history of a targetable browser is received at the targeting system. The model is applied to the history of the targetable browser at the targeting system, where conversion events have been excluded from the history. Advertising content is sent to the targetable browser according to a result of applying the model.

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