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    COLLABORATIVE INTELLIGENCE AND DECISION-MAKING IN AN IOT DEVICE GROUP
    1.
    发明公开
    COLLABORATIVE INTELLIGENCE AND DECISION-MAKING IN AN IOT DEVICE GROUP 审中-公开
    协同智能和决策IOT设备的集团

    公开(公告)号：EP2959434A4

    公开(公告)日：2016-10-26

    申请号：EP14712387

    申请日：2014-02-25

    申请人： QUALCOMM INC

    发明人： GOEL AMIT ,  SHUMAN MOHAMMED ATAUR RAHMAN ,  GUPTA BINITA ,  AGGARWAL ASHUTOSH ,  SHARMA SANDEEP

    IPC分类号： G06N7/02 ,  H04L29/08

    CPC分类号： G06Q10/101 ,  G06N5/04 ,  H04L67/12 ,  H04W4/005 ,  H04W4/008 ,  H04W4/023 ,  H04W4/028 ,  H04W4/08 ,  H04W4/206

    摘要： The disclosure relates to collaborative intelligence and decision-making in an Internet of Things (IoT) device group. In particular, various IoT devices in the group may be interdependent, whereby a decision that one IoT device plans may impact other IoT devices in the group. Accordingly, in response to an IoT device planning a certain decision (e.g., to transition state or initiate another action), the IoT devices in the group may collaborate using distributed intelligence prior to taking action on the planned decision. For example, a recommendation request may be sent to other IoT devices in the group, which may then analyze relationships within the group to assess potential impacts associated with the planned decision and respond to approve or disapprove the planned decision. Based on the responses received from the other IoT devices, the IoT device may then determine whether to take action on the planned decision.

    AUTOMATIC IOT DEVICE SOCIAL NETWORK EXPANSION
    2.
    发明公开
    AUTOMATIC IOT DEVICE SOCIAL NETWORK EXPANSION 审中-公开
    ERWEITERUNG EINES SOZIALEN NETZWERKS DURCH EINE AUTOMATISCHE IOT-VORRICHTUNG

    公开(公告)号：EP2959398A4

    公开(公告)日：2016-10-26

    申请号：EP14709838

    申请日：2014-02-25

    申请人： QUALCOMM INC

    发明人： SHUMAN MOHAMMED ATAUR RAHMAN ,  GOEL AMIT ,  SHARMA SANDEEP ,  GUPTA BINITA ,  AGGARWAL ASHUTOSH

    IPC分类号： G06F15/173 ,  G06Q10/00 ,  G06Q10/10 ,  G06Q50/00 ,  H04W84/18 ,  H04W92/02

    CPC分类号： H04L51/32 ,  G06Q10/06 ,  G06Q50/01 ,  H04W4/005 ,  H04W4/008 ,  H04W4/023 ,  H04W4/028 ,  H04W4/08 ,  H04W4/206

    摘要： The disclosure generally relates to Internet of Things (IoT) device social networking, and in particular to an IoT device publish-subscribe messaging model and automatic IoT device social network expansion. For example, IoT devices from different networks may publish status data that relates to certain topics, wherein the published status updates may be managed in a distributed manner at each IoT network. Furthermore, IoT devices interested in published data can subscribe to data relating to certain topics, which may be used to dynamically adjust actions that the subscribing IoT devices may take. Furthermore, IoT devices can employ common social networking capabilities (e.g., refer, follow, like, publish, subscribe, etc.) to interact with other IoT devices and find relevant information from other IoT devices that can be used to improve performance and effectiveness.

    摘要翻译： 本公开通常涉及物联网（IoT）设备社交网络，尤其涉及物联网设备发布订阅消息模型和自动IoT设备社交网络扩展。 例如，来自不同网络的IoT设备可以发布与某些主题相关的状态数据，其中可以在每个IoT网络以分布式方式来管理所发布的状态更新。 此外，对已发布数据感兴趣的IoT设备可以订阅与某些主题相关的数据，这些主题可用于动态调整订阅的IoT设备可能采取的动作。 此外，IoT设备可以使用常见的社交网络功能（例如，参考，跟随，发布，订阅等）与其他IoT设备交互，并从可用于改善性能和有效性的其他IoT设备中找到相关信息。

    REAL-TIME CONTEXT AWARE RECOMMENDATION ENGINE BASED ON A USER INTERNET OF THINGS ENVIRONMENT
    3.
    发明公开
    REAL-TIME CONTEXT AWARE RECOMMENDATION ENGINE BASED ON A USER INTERNET OF THINGS ENVIRONMENT 审中-公开
    情境感知实时转介ENGINE基于在物联网的用户环境

    公开(公告)号：EP3020014A4

    公开(公告)日：2017-01-11

    申请号：EP14748337

    申请日：2014-07-08

    申请人： QUALCOMM INC

    发明人： GUPTA BINITA

    IPC分类号： G06Q30/02

    CPC分类号： G06Q30/0269

    摘要： The disclosure relates to a recommendation engine that may monitor, aggregate, filter, and otherwise process relevant information associated with a user Internet of Things (IoT) environment to provide personal and context-aware recommendations based on relevant real-time knowledge about various IoT devices and other items in the IoT environment. For example, the recommendations may be generated based on ranked associations between the user and the various items in the IoT environment, which may be determined from profiles, states, usage patterns, proximities, and other contextually relevant information about the IoT environment. Furthermore, the recommendations may be uploaded to a recommendation data server, shared with friends, or otherwise used to provide similar recommendations to other users, and in a similar respect, the recommendations may be based on information stored on the recommendation data server and/or recommendations provided to friends or other users having similar profiles to the user.