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    SCALABLE CURATION SYSTEM
    1.
    发明申请
    SCALABLE CURATION SYSTEM 审中-公开

    公开(公告)号：US20180157960A1

    公开(公告)日：2018-06-07

    申请号：US15443221

    申请日：2017-02-27

    Applicant: Amazon Technologies, Inc.

    Inventor： Petra Elisabeth Holmes ,  Andrew Graham Fenn ,  Andrew Hopkinson ,  David Spike Palfrey ,  William Tunstall-Pedoe ,  Neil Copland

    IPC: G06N3/00 ,  G06N5/02 ,  G06N7/00 ,  G06F17/30

    CPC classification number: G06N3/006 ,  G06F16/24522 ,  G06N5/02 ,  G06N5/04 ,  G06N7/005

    Abstract: A system and method is disclosed for improving automated question-answering using real-world knowledge from a knowledge base. The system can be used to answer questions from various users. The system can generate answers to these questions using data stored in a knowledge base. In some embodiments, the system is provided with a list of questions separate from any user questions. The system can be trained using these questions in advance of a user question. The system can process the presented questions to determine that it can generate high-quality correct answers. The system can take various steps to determine a high-quality answer to a question. The system can utilize human intelligence providers to improve this process, such as through a human interactive task system. Human intelligence can be used to determine that a question is understood, that a question is answered, and that the answer is of high quality.

    Data object resolver
    4.
    发明授权
    Data object resolver 有权

    公开(公告)号：US09659052B1

    公开(公告)日：2017-05-23

    申请号：US14038098

    申请日：2013-09-26

    Applicant: Amazon Technologies, Inc.

    Inventor： Barry Dean Glennon ,  David Spike Palfrey ,  William Tunstall-Pedoe ,  Duncan Joseph Reynolds ,  Petra Elisabeth Holmes ,  Gregory Christopher Doran

    IPC: G06F17/30

    CPC classification number: G06F17/30607 ,  G06F17/30303 ,  G06F17/30598

    Abstract: A system and method to recognize and resolve when a source data object is the same or similar to an existing data object in a database using structured information and facts about each object. The system and method compare relations of the source data object and relations of the existing data object in the database and determine how similar the source data object is to the data object in the database based on scores of the comparisons. The system and method may provide outputs, such as whether the data objects match, the data objects are distinct, the source data object is a strong match to multiple data objects in the database, and the data objects conflict one another. The system and method may then resolve the database entries based on the potential matching outputs.

    Multi-stage query processing
    7.
    发明授权
    Multi-stage query processing 有权

    公开(公告)号：US10963497B1

    公开(公告)日：2021-03-30

    申请号：US15083790

    申请日：2016-03-29

    Applicant: Amazon Technologies, Inc.

    Inventor： Mihai Valentin Tablan ,  Sina Samangooei ,  Arpit Mittal ,  David Spike Palfrey ,  Emilio Monti ,  Pedro Ribeiro ,  Benjamin David Scott ,  Petra Elisabeth Holmes ,  Dianhuan Lin

    IPC: G06F16/33

    Abstract: A query parsing system uses a multi-stage process to parse the text of incoming queries before attempting to answer the queries. The multi-stage configuration involves a first trained classifier to determine the query type, or intent, of the text and a plurality of second trained classifiers, where each of the second trained classifiers is configured particularly for one specific respective query type. During query processing, the first trained classifier is used on the text to identify the query type. A second trained classifier for that specific identified query type is then found and used on the text to identify what strings in the text correspond to specific entities needed to resolve the query. The identified text strings and query type are then placed into a form understandable by a knowledge base and sent to the knowledge base for resolution. The classifiers may be trained using queries and answers previously processed by the knowledge base using a rules/template resolution process.

    Automated graph-based identification of early adopter users
    8.
    发明授权
    Automated graph-based identification of early adopter users 有权

    公开(公告)号：US10049375B1

    公开(公告)日：2018-08-14

    申请号：US14666023

    申请日：2015-03-23

    Applicant: Amazon Technologies, Inc.

    Inventor： Giovanni Zappella ,  Marcel Ackermann ,  Rodolphe Jenatton ,  David Spike Palfrey ,  Samuel Theodore Sandler

    IPC: G06Q30/02 ,  G06F17/30

    Abstract: A system is disclosed that identifies early adopter users by creating a directed graph of item access information for an item category and performing a page rank type process on the item access information. This directed graph may be created in a reverse temporal order. The early adopter users can be identified as the users with nodes in the directed graph that have a threshold number or rate of incoming links directly or indirectly pointing towards the nodes. Using the early adopter users as a sample, systems herein can determine whether to recommend an item based on the popularity of the item with respect to the early adopter users. Further, systems herein can determine an inventory level to maintain for an item based on the popularity of the item with respect to the early adopter users.

    Scalable curation system
    10.
    发明授权
    Scalable curation system 有权
    可扩展的策展系统

    公开(公告)号：US09582757B1

    公开(公告)日：2017-02-28

    申请号：US14341595

    申请日：2014-07-25

    Applicant: Amazon Technologies, Inc.

    Inventor： Petra Elisabeth Holmes ,  Andrew Graham Fenn ,  Andrew Hopkinson ,  David Spike Palfrey ,  William Tunstall-Pedoe ,  Neil Copland

    IPC: G06F17/00 ,  G06F17/20 ,  G06N5/02

    CPC classification number: G06N3/006 ,  G06F17/3043 ,  G06N5/02 ,  G06N5/04 ,  G06N7/005

    Abstract: A system and method is disclosed for improving automated question-answering using real-world knowledge from a knowledge base. The system can be used to answer questions from various users. The system can generate answers to these questions using data stored in a knowledge base. In some embodiments, the system is provided with a list of questions separate from any user questions. The system can be trained using these questions in advance of a user question. The system can process the presented questions to determine that it can generate high-quality correct answers. The system can take various steps to determine a high-quality answer to a question. The system can utilize human intelligence providers to improve this process, such as through a human interactive task system. Human intelligence can be used to determine that a question is understood, that a question is answered, and that the answer is of high quality.

    Abstract translation: 公开了一种用于使用来自知识库的真实世界知识来改进自动化问答的系统和方法。 该系统可用于回答各种用户的问题。 系统可以使用存储在知识库中的数据来生成对这些问题的答案。 在一些实施例中，向系统提供与任何用户问题分离的问题列表。 系统可以在用户问题之前使用这些问题进行培训。 系统可以处理提出的问题，以确定它可以生成高质量的正确答案。 系统可以采取各种步骤来确定问题的高质量答案。 该系统可以利用人类智能提供者改善这一过程，例如通过人类交互任务系统。 可以使用人类智力来确定一个问题被理解，一个问题得到回答，答案是高质量的。

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