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US Patent 10311371 Machine learning based content delivery

Patent 10311371 was granted and assigned to Amazon on June, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Amazon
Amazon
Current Assignee
Amazon
Amazon
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10311371
Patent Inventor Names
Anthony T. Chor0
Sean Michael Scott0
Udip Pant0
Aman Agarwal0
Blair Livingstone Hotchkies0
Bradley Scott Bowman0
Kevin Andrew Granade0
Leo Parker Dirac0
...
Date of Patent
June 4, 2019
Patent Application Number
14578050
Date Filed
December 19, 2014
Patent Citations
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US Patent 10104009 Managing resource consolidation configurations
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US Patent 10027739 Performance-based content delivery
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Patent Citations Received
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US Patent 11514518 System and method of an automated agent to automatically implement loan activities
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US Patent 12136096 Systems and methods for prioritizing fraud cases using artificial intelligence
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US Patent 11461402 Routing based request correlation
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US Patent 11461842 System and method of a smart contract and distributed ledger platform with blockchain custody service
0
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US Patent 11481840 System and method of varied terms and conditions of a subsidized loan
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US Patent 11488059 Transaction-enabled systems for providing provable access to a distributed ledger with a tokenized instruction set
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US Patent 11494836 System and method that varies the terms and conditions of a subsidized loan
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US Patent 11494694 Transaction-enabled systems and methods for creating an aggregate stack of intellectual property
0
...
Patent Primary Examiner
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Robert A Cassity
Patent abstract

Systems and methods for managing content delivery functionalities based on machine learning models are provided. In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance. In another aspect, content delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests. The model may also be used to determine above-the-fold configurations for rendering responses to content requests. In some embodiments, portions of the model can be executed on client computing devices.

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