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公开(公告)号：US20190109926A1
公开(公告)日：2019-04-11
申请号：US16201883
申请日：2018-11-27
Applicant: Amazon Technologies, Inc.
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
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 In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance.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delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests.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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公开(公告)号：US11457078B2
公开(公告)日：2022-09-27
申请号：US16201883
申请日：2018-11-27
Applicant: Amazon Technologies, Inc.
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
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 In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance.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delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests.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.
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Patent Agency Ranking
公开(公告)号：US10225365B1
公开(公告)日：2019-03-05
申请号：US14578189
申请日：2014-12-19
Applicant: Amazon Technologies, Inc.
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
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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公开(公告)号：US10121171B1
公开(公告)日：2018-11-06
申请号：US14575843
申请日：2014-12-18
Applicant: Amazon Technologies, Inc.
Inventor： Brian Chang , Min Chong , Adam Brent Johnson , John Riley Lynch , Llewellyn James Mason , Francisco Jose Peredo Noguez
Abstract: Methods, devices and program products are provided which comprise the under control of one or more computer systems configured with specific executable instructions. The methods, devices and program products provide an image of an item for display, and the item is comprised of a plurality of components. The methods, devices and program products receive a selection of a component of interest from the plurality of components of the item, and obtain a component-level rating associated with the component of interest.
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公开(公告)号：US10657568B1
公开(公告)日：2020-05-19
申请号：US16154087
申请日：2018-10-08
Applicant: Amazon Technologies, Inc.
Inventor： Brian Chang , Min Chong , Adam Brent Johnson , John Riley Lynch , Llewellyn James Mason , Francisco Jose Peredo Noguez
Abstract: An interactive user interface is disclosed that enables users to efficiently access and/or submit component-specific reviews of components of a product. The user interface displays an image of the product, and displays region identifiers that identify image regions corresponding to product components that are separately reviewable. When a user selects a particular region, the user interface may display component-specific reviews of the corresponding component, and/or may display an option to submit a component-specific review of the component. The user interface may be included in an interactive catalog page, such as a web page.
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公开(公告)号：US10311372B1
公开(公告)日：2019-06-04
申请号：US14578099
申请日：2014-12-19
Applicant: Amazon Technologies, Inc.
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
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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公开(公告)号：US10311371B1
公开(公告)日：2019-06-04
申请号：US14578050
申请日：2014-12-19
Applicant: Amazon Technologies, Inc.
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 , Aman Agarwal
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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