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US Patent 10357713 Utilizing gaming behavior to evaluate player traits

Patent 10357713 was granted and assigned to Wells Fargo on July, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Wells Fargo
Wells Fargo
Current Assignee
Wells Fargo
Wells Fargo
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10357713
Patent Inventor Names
Abhijit Rao0
Michael H. Chang0
Samuel B. Martin0
Traci H. Nguyen0
Byron G. Chun0
Douglas S. Pelton0
Edward J. Landers0
Date of Patent
July 23, 2019
Patent Application Number
15229995
Date Filed
August 5, 2016
Patent Citations Received
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US Patent 12118079 Resource conservation system for scalable identification of a subset of inputs from among a group of inputs that contributed to an output
0
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US Patent 10783457 Method for determining risk preference of user, information recommendation method, and apparatus
0
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US Patent 10825293 Creating and delivering customized gaming rebates to reduce problem gaming
0
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US Patent 10905962 Machine-learned trust scoring for player matchmaking
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US Patent 11052311 Machine-learned trust scoring based on sensor data
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US Patent 11071910 Utilizing gaming behavior to evaluate player traits
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US Patent 11253778 Providing content
0
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US Patent 11450176 Systems and methods to reduce problem gaming
0
...
Patent Primary Examiner
‌
Lawrence S Galka
Patent abstract

A system includes at least one hardware processor in communication with a user computing device associated with a user and a memory storing instructions. When executed by the at least one hardware processor, the instructions cause the at least one hardware processor to perform operations including receiving gaming behavior data associated with the user playing a computer game on the user computing device, the gaming behavior data includes one or more of session-based behavior data, game-selection behavior data, and ancillary gaming behavior data, determining a first trait of the user based on the gaming behavior data, and automatically computing a financial risk factor associated with the user based on the determined first trait.

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