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    Techniques for identifying sources of unauthorized code
    2.
    发明授权
    Techniques for identifying sources of unauthorized code 有权
    识别未经授权的代码来源的技术

    公开(公告)号：US09130976B1

    公开(公告)日：2015-09-08

    申请号：US14084287

    申请日：2013-11-19

    Applicant: Amazon Technologies, Inc.

    Inventor： Karl Andre McCabe ,  Jon Arron McClintock ,  David James Roy Erdmann

    IPC: G06F15/16 ,  H04L29/06 ,  G06F12/14 ,  G06F11/00 ,  G06F12/16 ,  G08B23/00

    CPC classification number: H04L63/14 ,  G06F21/44 ,  G06F21/566 ,  G06F2221/2101 ,  H04L63/1441 ,  H04L69/24 ,  H04L2463/146

    Abstract: Techniques described and suggested herein include systems and methods for identifying potential sources of infections of devices by unauthorized code. In an embodiment, network traffic is logged. A plurality of computing devices that include unauthorized code is identified. The logged traffic is used to identify information sources accessed by the identified affected devices. The identified information sources may be refined. Refinement of the identified information sources may include excluding information sources that have been accessed by uninfected devices. A user interface that allows a user to further refine the identified information sources may be provided.

    Abstract translation: 本文描述和建议的技术包括用于通过未经授权的代码识别设备的潜在感染源的系统和方法。 在一个实施例中，记录网络流量。 识别包括未授权代码的多个计算设备。 记录的流量用于识别由识别的受影响设备访问的信息源。 所识别的信息源可以被改进。 识别的信息源的细化可能包括排除未感染设备访问的信息源。 可以提供允许用户进一步细化所识别的信息源的用户界面。

    Systems and methods for enhanced advertisements
    3.
    发明授权
    Systems and methods for enhanced advertisements 有权

    公开(公告)号：US10460357B1

    公开(公告)日：2019-10-29

    申请号：US13775998

    申请日：2013-02-25

    Applicant: Amazon Technologies, Inc.

    Inventor： David Michael Bevacqua ,  David James Roy Erdmann

    IPC: G06Q30/02

    Abstract: Systems and methods for receiving a content request, generating and transmitting an advertisement request, receiving an advertisement, determining a product or service associated with the advertisement, and generating an e-commerce functionality associated with the product or service. The e-commerce functionality and advertisement may be transmitted to a user device and rendered to a user via the user device.

    Predicting location of a mobile user
    6.
    发明授权
    Predicting location of a mobile user 有权
    预测移动用户的位置

    公开(公告)号：US09123014B1

    公开(公告)日：2015-09-01

    申请号：US14258543

    申请日：2014-04-22

    Applicant: Amazon Technologies, Inc.

    Inventor： David James Roy Erdmann ,  Joseph Patrick Pinsky

    IPC: G01C21/00 ,  G06Q50/28 ,  G06Q10/08 ,  G01C21/36 ,  H04W4/02

    CPC classification number: G06Q10/083 ,  G01C21/3617 ,  H04W4/029

    Abstract: Disclosed are various embodiments for predicting a future location of a mobile user. A recent location of a mobile user is received. Past location data for the mobile user is retrieved from storage. A future location of the mobile user is predicted based at least in part on the recent location and on the past location data. The prediction is provided in response to a query or by subscription.

    Abstract translation: 公开了用于预测移动用户的未来位置的各种实施例。 接收到移动用户的最近位置。 从存储器检索移动用户的过去位置数据。 至少部分地基于最近的位置和过去的位置数据来预测移动用户的未来位置。 响应于查询或订阅来提供预测。

    Predicting location of a mobile user
    10.
    发明授权
    Predicting location of a mobile user 有权
    预测移动用户的位置

    公开(公告)号：US08718934B1

    公开(公告)日：2014-05-06

    申请号：US13952979

    申请日：2013-07-29

    Applicant: Amazon Technologies, Inc.

    Inventor： David James Roy Erdmann ,  Joseph Patrick Pinsky

    IPC: G01C21/00

    CPC classification number: G06Q10/083 ,  G01C21/3617 ,  H04W4/029

    Abstract: Disclosed are various embodiments for predicting a future location of a mobile user. A recent location of a mobile user is received. Past location data for the mobile user is retrieved from storage. A future location of the mobile user is predicted based at least in part on the recent location and on the past location data. The prediction is provided in response to a query or by subscription.

    Abstract translation: 公开了用于预测移动用户的未来位置的各种实施例。 接收到移动用户的最近位置。 从存储器检索移动用户的过去位置数据。 至少部分地基于最近的位置和过去的位置数据来预测移动用户的未来位置。 响应于查询或订阅来提供预测。

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