Invention Grant
- Patent Title: Machine learning based content delivery
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Application No.: US16201883Application Date: 2018-11-27
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Publication No.: US11457078B2Publication Date: 2022-09-27
- Inventor: Blair Livingstone Hotchkies , Bradley Scott Bowman , Paul Christopher Cerda , Min Chong , Anthony T. Chor , Leo Parker Dirac , Kevin Andrew Granade , Udip Pant , Sean Michael Scott
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Knobbe Martens Olson & Bear LLP
- Main IPC: H04L29/06
- IPC: H04L29/06 ; H04L29/08 ; H04L67/63 ; H04L67/568 ; H04L67/01

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 In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance.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delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests.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.
Public/Granted literature
- US20190109926A1 MACHINE LEARNING BASED CONTENT DELIVERY Public/Granted day:2019-04-11
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