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US Patent 11776062 Systems and methods for electronically matching online user profiles

Patent 11776062 was granted and assigned to State Farm on October, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
State Farm
State Farm
Current Assignee
State Farm
State Farm
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11776062
Patent Inventor Names
Matthew Eric Riley, Sr.
J. Lynn Wilson
Joseph Robert Brannan
Brian N. Harvey
Ryan Michael Gross
Date of Patent
October 3, 2023
Patent Application Number
17319952
Date Filed
May 13, 2021
Patent Citations
‌
US Patent 8799028 Social network risk analysis
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US Patent 8972872 Building computing applications based upon metadata
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US Patent 9363283 Systems and methods for reputation scoring
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US Patent 9501791 Online marketplace with seller financing
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US Patent 9674205 Identity and trustworthiness verification using online and offline components
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US Patent 11030701 Systems and methods for electronically matching online user profiles
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US Patent 9740709 Searching for entities based on trust score and geography
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US Patent 7286818 Apparatus and method for increased security of wireless transactions
...
Patent Citations Received
‌
US Patent 12014428 Apparatus and a method for the generation of provider data
0
Patent Primary Examiner
‌
Frantzy Poinvil
CPC Code
‌
G06F 16/9535
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G06Q 50/01
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G06Q 30/0645
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G06Q 40/08
Patent abstract

A matching computer system for electronically generating, matching, and providing online user profiles, and determining a trust score for a user based upon at least social media data and insurance data is provided. The matching computer system may be configured to register users within the matching computer system, receive consent from the users to capture the social media data, and collect the social media data and the insurance data from each registered user. The matching computer system may also be configured to retrieve the social media data and the insurance data associated with each registered user. The matching computer system may be further configured to determine a trust score for each registered user based upon each respective social media data and each respective insurance data. Each trust score represents a level of trustworthiness of the user.

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