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US Patent 11010345 User behavior segmentation using latent topic detection

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Experian
Experian
0
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
110103450
Patent Inventor Names
Mason L. Carpenter0
Gregor Bonin0
Honghao Shan0
Shanji Xiong0
Christer DiChiara0
Date of Patent
May 18, 2021
0
Patent Application Number
163571060
Date Filed
March 18, 2019
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Patent Citations
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US Patent 10121194 System and method for generating a finance attribute from tradeline data
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US Patent 10133562 Efficiently representing complex score models
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US Patent 10133980 Optimizing neural networks for risk assessment
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US Patent 10140193 Systems and methods for enabling failover support with multiple backup data storage structures
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US Patent 10162630 Configuration packages for software products
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US Patent 10019508 Keeping up with the joneses
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US Patent 10078868 System and method for providing an aggregation tool
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US Patent 10083263 Automatic modeling farmer
...
Patent Citations Received
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US Patent 11631129 System and method for generating a finance attribute from tradeline data
0
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US Patent 11443373 System and method for providing an aggregation tool
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US Patent 11954731 System and method for generating a finance attribute from tradeline data
0
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US Patent 11983200 Processing system, processing device, processing method, program, and information storage medium
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US Patent 11620314 User rating based on comparing groups
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Patent Primary Examiner
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Diedra McQuitery
0
Patent abstract

The features relate to artificial intelligence directed compression of user event data based on complex analysis of user event data including latent feature detection and clustering. Further features are described for reducing the size of data transmitted during event processing data flows and devices such as card readers or point of sale systems. Machine learning features for dynamically determining an optimal compression as well as identifying targeted users and providing content to the targeted users based on the compressed data are also included.

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