公开(公告)号：US09870348B1

公开(公告)日：2018-01-16

申请号：US14160099

申请日：2014-01-21

Applicant: Amazon Technologies, Inc.

Inventor： John Ingram Baker Dugaw ,  Zachary Mohamed Shalla ,  Anand Victor ,  Jeremy Boynes ,  Andrew Stuart Huntwork

IPC: G06F17/00 ,  G06F17/22

CPC classification number: G06F17/2247 ,  G06Q30/00

Abstract: Disclosed are various embodiments for the mapping of behavior to data. Multiple behavior elements from a code library that are compatible with one or more data elements of a document are determined according to a data contract associated with each one of the behavior elements. Each of the behavior elements is configured to consume one or more data elements and produce a user interface feature. One or more of the behavior elements are selected according to one or more rules. A mapping of the selected behavior elements to the data elements is generated.

公开(公告)号：US11645468B2

公开(公告)日：2023-05-09

申请号：US17009026

申请日：2020-09-01

Applicant: Amazon Technologies, Inc.

Inventor： Yi Xu ,  Abhinav Aggarwal ,  Anand Victor ,  Rahul Gupta ,  Han Zeng

IPC: G06F17/00 ,  G06F40/295 ,  G06F40/30 ,  G10L15/08

CPC classification number: G06F40/295 ,  G06F40/30 ,  G10L15/08

Abstract: Techniques for determining attributable data in a natural language user input that can be used to identify a specific user are described. A system may use various data signals determined using different components. The system may process the various signals to make a final determination on whether the input includes attributable data. The system may use a first component to detect user-identifiable data in the input. The system may use a second component to determine whether the input is potentially attributable to a particular user.

公开(公告)号：US11381584B1

公开(公告)日：2022-07-05

申请号：US16562347

申请日：2019-09-05

Applicant: Amazon Technologies, Inc.

Inventor： Anand Victor ,  Ramnath R. Iyer ,  David Edouard Louis Robert ,  Ankur Goenka ,  Zhengqiang Xu ,  Keshav Aswathnarayana Narsipur ,  Kyle B. Peterson

IPC: H04L9/40 ,  G06F9/455

Abstract: A customer in a computing resource service provider environment provisions a virtual machine instance configured with access to sensitive data in a secure storage facility. The virtual machine instance is provisioned specifically to generate reports using a subset of the sensitive data to satisfy different reporting requirements associated with governing entities and agencies. After generating the reports, the virtual machine instance is then removed from the computing resource service environment such that the sensitive data is inaccessible.

公开(公告)号：US11356453B1

公开(公告)日：2022-06-07

申请号：US16562356

申请日：2019-09-05

Applicant: Amazon Technologies, Inc.

Inventor： Anand Victor ,  Ramnath R. Iyer ,  David Edouard Louis Robert ,  Ankur Goenka ,  Zhengqiang Xu ,  Keshav Aswathnarayana Narsipur ,  Kyle B. Peterson

IPC: G06F9/455 ,  H04L9/40

Abstract: A plurality of virtual machines instances are instantiated and configured to use a subset of sensitive data to generate reports such that the reports can be visually inspected by authorized personnel or entities for potential abnormalities. After completion of the inspection, the virtual machine instances are then deleted such that the sensitive data that were used to generate the reports become inaccessible.

公开(公告)号：US09633386B1

公开(公告)日：2017-04-25

申请号：US13969930

申请日：2013-08-19

Applicant: Amazon Technologies, Inc.

Inventor： Gagan Kumar Arora ,  Anand Victor

IPC: G06Q30/00 ,  G06Q30/06

CPC classification number: G06Q30/0625 ,  G06Q30/0601

Abstract: Disclosed are various embodiments for determining categories of items to include in a search results listing. Items to include in a search result listing are identified in response to a search request. The items are classified in multiple categories. A particular seller of multiple sellers is identified based at least in part on the search request. A subset of the categories is determined for which corresponding items are to be included in the search results listing. The subset is determined by applying one or more rules specified by the particular seller.

公开(公告)号：US12148417B1

公开(公告)日：2024-11-19

申请号：US17354215

申请日：2021-06-22

Applicant: Amazon Technologies, Inc.

Inventor： Aidan Thomas Cardella ,  Anand Victor ,  Vipin Gupta ,  Zheng Du ,  John Rajiv Malik ,  Li Erran Li ,  Jarrett Alegre Bato ,  Peng Yang ,  Alejandro Ricardo Mottini D'Oliveira

IPC: G10L15/01 ,  G10L15/16 ,  G10L15/18 ,  G10L15/26

Abstract: Devices and techniques are generally described for confidence score generation for label generation. In some examples, first data may be received from a first computing device. In various further examples, first label data classifying at least one aspect of the first data may be received. First metadata associated with how the first label data was generated may be received. In some cases, the first label data may be generated by a first user. In various examples, a first machine learning model may generate a first confidence score associated with the first label data based at least in part on the first data and second data related to label generation by the first person. In various examples, output data comprising the first confidence score may be sent to the first computing device.

公开(公告)号：US20220067289A1

公开(公告)日：2022-03-03

申请号：US17009026

申请日：2020-09-01

Applicant: Amazon Technologies, Inc.

Inventor： Yi Xu ,  Abhinav Aggarwal ,  Anand Victor ,  Rahul Gupta ,  Han Zeng

IPC: G06F40/295 ,  G10L15/08 ,  G06F40/30

Abstract: Techniques for determining attributable data in a natural language user input that can be used to identify a specific user are described. A system may use various data signals determined using different components. The system may process the various signals to make a final determination on whether the input includes attributable data. The system may use a first component to detect user-identifiable data in the input. The system may use a second component to determine whether the input is potentially attributable to a particular user.