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    • 38. 发明申请
    • CONTEXT-AWARE COLLABORATIVE USER TRACKING
    • 语境合作用户追踪
    • US20160337795A1
    • 2016-11-17
    • US15106764
    • 2013-12-19
    • INTEL CORPORATION
    • Lama NachmanHorst W. HausseckerJim S. BacaBurges Karkaria
    • H04W4/02H04W4/20
    • H04W4/023H04W4/029H04W4/21
    • Technologies are presented that provide collaborative context-based user tracking and communications. A method of tracking communication options may include receiving, from one or more user devices of a user, user proximity information that indicates whether the user is in proximity of the one or more user devices; receiving, from the user devices, tracking loss warnings that indicate that loss of capabilities to track the user by respective user devices may be imminent; receiving, from the user devices, secondary device proximity information that indicates whether the user device is in proximity of one or more secondary devices; and receiving, from the secondary devices, additional user proximity information that indicates whether the user is in proximity of the one or more secondary devices. The method may further include dynamically determining from the received information which of the user devices and secondary devices are able to provide communications to the user.
    • 提供了提供基于协作上下文的用户跟踪和通信的技术。 跟踪通信选项的方法可以包括从用户的一个或多个用户设备接收指示用户是否处于一个或多个用户设备附近的用户接近度信息; 从用户设备接收跟踪损失警告,指示由各个用户设备跟踪用户的能力的丢失可能即将到来; 从用户设备接收指示用户设备是否在一个或多个辅助设备附近的辅助设备接近信息; 以及从辅助设备接收附加的用户接近信息,其指示用户是否在一个或多个辅助设备附近。 该方法还可以包括根据接收到的信息来动态地确定用户设备和辅助设备中的哪一个能够向用户提供通信。
    • 39. 发明申请
    • Customized Shopping
    • 定制购物
    • US20160140641A1
    • 2016-05-19
    • US14941816
    • 2015-11-16
    • Intel Corporation
    • Jim S. BacaDavid StanasolovichHong LiMark H. Price
    • G06Q30/06G06K9/66
    • G06Q30/0627G06K9/66G06Q30/0601G06Q30/0643
    • An embodiment of the invention includes a network-accessible compute node, which includes a local storage storing reference images. Each reference image can depict one or more preferences, which can include a quality, a feature, a characteristic, an attribute, a type, and/or a form. Each preference can be associated with a distinctive pattern and a preference criterion. An embodiment includes an optimization module. The optimization module can learn the distinctive patterns from the reference images. The optimization module can also access a remote storage storing images of commodities and use pattern recognition to identify, from the remote storage, one or more images of commodities meeting the preference criterion selected by a user. Other embodiments are described and claimed.
    • 本发明的实施例包括网络可访问的计算节点,其包括存储参考图像的本地存储器。 每个参考图像可以描绘一个或多个偏好,其可以包括质量,特征,特征,属性,类型和/或形式。 每个偏好可以与特征模式和偏好标准相关联。 实施例包括优化模块。 优化模块可以从参考图像中学习独特的模式。 优化模块还可以访问存储商品图像的远程存储器并使用模式识别来从远程存储器识别满足用户选择的偏好标准的商品的一个或多个图像。 描述和要求保护其他实施例。