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    Clustering and recommending items based upon keyword analysis
    1.
    发明授权
    Clustering and recommending items based upon keyword analysis 有权

    公开(公告)号：US10095771B1

    公开(公告)日：2018-10-09

    申请号：US14954475

    申请日：2015-11-30

    Applicant: Amazon Technologies, Inc.

    Inventor： Aaron James Dykstra ,  Saurabh Nangia ,  Stephen B. Ivie ,  David Michael Hurley

    IPC: G06F17/30 ,  G06Q30/02 ,  G06Q30/06

    Abstract: A multi-level approach for generating suggestions and/or recommendations associated with one or more items is provided. A group of related items may be identified, for example, by generating a collaborative filtering graph or other graph that includes items and connections between the items. Description data associated with items included in the group may be evaluated in order to determine respective keywords associated with the items and/or a list of common keywords representative of the group of items or a subset of the group of items. Based at least in part upon the list of common keywords, at least one suggestion may be generated.

    Identification of item attributes using artificial intelligence
    3.
    发明授权
    Identification of item attributes using artificial intelligence 有权
    使用人工智能识别项目属性

    公开(公告)号：US09569700B1

    公开(公告)日：2017-02-14

    申请号：US14573892

    申请日：2014-12-17

    Applicant: Amazon Technologies, Inc.

    Inventor： Anthony Alexander Santos ,  Adam James Finkelstein ,  David Akira Gingrich ,  David Michael Hurley ,  Siqi Zhao

    IPC: G06K9/62 ,  G06K9/66 ,  G06N99/00 ,  G06N5/04 ,  G06F17/30

    CPC classification number: G06K9/66 ,  G06F17/30247 ,  G06F17/30256 ,  G06F17/3028 ,  G06K9/46 ,  G06K9/4628 ,  G06K9/6202 ,  G06K9/623 ,  G06K9/6282 ,  G06N3/04 ,  G06N3/0427 ,  G06N3/0454 ,  G06N3/08

    Abstract: A system that identifies attributes of an item depicted in an image using artificial intelligence is provided. For example, the system may use one or more deep belief networks (DBNs) or convolution neural networks (CNNs) trained to analyze images and identify attributes in items depicted in the images. A first artificial intelligence module may analyze an image to determine a type of item depicted in the image. The system may then select a second artificial intelligence module that is associated with the type of item and use the second artificial intelligence module to identify attributes in the item depicted in the image. Identified attributes, if associated with a confidence level over a threshold value, may be provided to a user. The user may provide feedback on the accuracy of the identified attributes, which can be used to further train the first and/or second artificial intelligence modules.

    Abstract translation: 提供了一种使用人工智能识别图像中描绘的项目的属性的系统。 例如，该系统可以使用经过训练的一个或多个深层信念网络（DBN）或卷积神经网络（CNN）来分析图像并识别图像中描绘的项目的属性。 第一人造智能模块可以分析图像以确定图像中描绘的项目的类型。 系统然后可以选择与项目类型相关联的第二人造智能模块，并使用第二人造智能模块来识别图像中描绘的项目中的属性。 如果与置信水平超过阈值相关联的标识属性可以被提供给用户。 用户可以提供关于所识别的属性的准确性的反馈，其可以用于进一步训练第一和/或第二人工智能模块。

    Artificial intelligence based identification of item attributes associated with negative user sentiment
    4.
    发明授权
    Artificial intelligence based identification of item attributes associated with negative user sentiment 有权

    公开(公告)号：US10410273B1

    公开(公告)日：2019-09-10

    申请号：US14562451

    申请日：2014-12-05

    Applicant: Amazon Technologies, Inc.

    Inventor： Adam James Finkelstein ,  David Akira Gingrich ,  David Michael Hurley ,  Stephen Brent Ivie ,  Siu Nam Wong ,  Siqi Zhao

    IPC: G06N5/04 ,  G06N20/00 ,  G06Q30/06

    Abstract: A recommendation system uses artificial intelligence to identify, based on negative sentiment cues from users, item attributes, such as keywords, that users may find offensive or undesirable. The negative sentiment cues may be explicit (e.g., a user selects an option not to view a particular recommendation again), implicit (e.g., a user does not interact with recommendations relating to an attribute), or both. The system may use a computer model generated based on these identified attributes to filter or modify recommendations to a user or group of users. For instance, if a particular keyword is identified as highly offensive to a group of users, items associated with the keyword may be filtered from item recommendations presented to the group of users. If an attribute is identified as moderately offensive to a user, items associated with the attribute may be down-weighted in item recommendations presented to the user.

    Distributed read-only database service
    7.
    发明授权
    Distributed read-only database service 有权

    公开(公告)号：US11074229B1

    公开(公告)日：2021-07-27

    申请号：US15928007

    申请日：2018-03-21

    Applicant: Amazon Technologies, Inc.

    Inventor： Alexander Slutsker ,  David Michael Hurley ,  Remo Antonio Cocco ,  Siu Nam Wong ,  Aparna Raman

    IPC: G06F16/27 ,  G06F16/21 ,  G06F16/2458

    Abstract: Methods, systems, and computer-readable media for a distributed read-only database service are disclosed. Using a read-only database service, one or more host groups are selected from a plurality of available host groups in a distributed system. The one or more host groups are selected for a particular dataset based at least in part on a size of the dataset and on a transaction rate for the dataset. The selected one or more host groups comprise one or more hosts comprising storage resources. A read-only database comprising elements of the dataset is generated. The read-only database is deployed to the storage resources of the one or more host groups in the distributed system. The one or more host groups are configured to serve a plurality of read requests from clients for the elements of the read-only database.

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