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

IPC: H04L29/08 ,  H04L29/06

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 In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance.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delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests.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.

公开(公告)号：US11861293B1

公开(公告)日：2024-01-02

申请号：US16706277

申请日：2019-12-06

Applicant: Amazon Technologies, Inc.

Inventor： Sean Michael Scott ,  Douglas J. Gradt ,  Doug Irvine ,  Nimrod Hoofien ,  Eva Manolis ,  Christopher J. Vigder ,  Amy Bates

IPC: G06F40/134 ,  G06F3/04842 ,  G06F3/0481 ,  G06F3/04817

CPC classification number: G06F40/134 ,  G06F3/0481 ,  G06F3/04817 ,  G06F3/04842 ,  G06F2203/04806

Abstract: Methods and systems for selecting and displaying items includes causing the display of a large image of a selected item, a plurality of view icons indicative of different views of the selected item, and item details associated with a selected item. After the customer selects a view and/or color for the large image and mouses over the image, a zoom box appears and a corresponding magnified image window appears with a magnified image of the zoom box image for the selected view and color of the item.

公开(公告)号：US10262349B1

公开(公告)日：2019-04-16

申请号：US13933049

申请日：2013-07-01

Applicant: Amazon Technologies, Inc.

Inventor： Sean Michael Scott

IPC: G06Q30/06

Abstract: Disclosed are various embodiments for location based call routing to a subject matter specialist. A call request is obtained from a computing device. The call request pertains to a topic and includes a current location of the computing device. A topic specialist for the topic is identified based at least in part upon the current location of the computing device. The call request is completed by establishing a call between the computing device and a computing device used by the topic specialist.

公开(公告)号：US10515140B1

公开(公告)日：2019-12-24

申请号：US14791818

申请日：2015-07-06

Applicant: Amazon Technologies, Inc.

Inventor： Sean Michael Scott ,  Douglas J. Gradt ,  Doug Irvine ,  Nimrod Hoofien ,  Eva Manolis ,  Christopher J. Vigder ,  Amy Bates ,  Max L. Kanter ,  Todd A. Heimes ,  J. Nathaniel Sloan ,  Michael Paul Touloumtzis ,  Michael L. Weiss ,  Maren Marie Costa ,  Gianna Lise Puerini

IPC: G06F17/22 ,  G06F3/0481 ,  G06F3/0484

Abstract: Methods and systems for selecting and displaying items includes causing the display of a large image of a selected item, a plurality of view icons indicative of different views of the selected item, and item details associated with a selected item. After the customer selects a view and/or color for the large image and mouses over the image, a zoom box appears and a corresponding magnified image window appears with a magnified image of the zoom box image for the selected view and color of the item.

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

IPC: H04L29/06 ,  H04L29/08

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.

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.

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

IPC: G06N20/00 ,  H04L29/08 ,  G06N5/04

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.

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

IPC: G06N20/00 ,  G06N5/02 ,  H04L29/08

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.