CLIENT-SERVER HYBRID AI SCORES FOR CUSTOMIZED ACTIONS

    公开(公告)号:US20180198889A1

    公开(公告)日:2018-07-12

    申请号:US15400331

    申请日:2017-01-06

    CPC classification number: G06N3/004 H04L67/02 H04L67/22 H04L67/306

    Abstract: Client-server hybrid A.I. scores for customized actions are described. A client generates client scores corresponding to client customized actions by applying a user-specific model to an action received from a user, the user-specific model based on at least one historical action received from the user. The client requests a server to provide server scores corresponding to server customized actions by applying a cross-user model to the action received from the user, the cross-user model based on historical actions associated with server users. The client generates hybrid scores corresponding to hybrid customized actions by combining the client scores with the server scores, in response to receiving the server scores from the server. The client causes the hybrid customized actions to be outputted based on the corresponding hybrid scores.

    SYSTEMS AND METHODS OF OPPORTUNISTICALLY IDENTIFYING NETWORKING PROSPECTS
    2.
    发明申请
    SYSTEMS AND METHODS OF OPPORTUNISTICALLY IDENTIFYING NETWORKING PROSPECTS 审中-公开
    机构识别网络前景的系统与方法

    公开(公告)号:US20140289140A1

    公开(公告)日:2014-09-25

    申请号:US14147318

    申请日:2014-01-03

    Inventor: Amit VIJAYANT

    CPC classification number: G06Q50/01 H04W4/023 H04W4/21

    Abstract: The technology disclosed relates to automatically suggesting rendezvous with nearby networking prospects. In particular, it relates to opportunistically filling a user's free time with business networking activities by identifying other users that are in geographic proximity to the user and meet the user's business preferences for business networking activities.

    Abstract translation: 所披露的技术涉及自动建议与附近网络前景的会合。 特别地,它涉及通过识别与用户地理上接近的其他用户并满足用户对商业网络活动的商业偏好的机会地将用户的空闲时间填充到商业网络活动。

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