MACHINE LEARNING TECHNICAL SUPPORT SELECTION

    公开(公告)号:US20190279159A1

    公开(公告)日:2019-09-12

    申请号:US15916399

    申请日:2018-03-09

    摘要: A method and system for improving a machine learning technical support applicant selection process is provided. The method includes retrieving and analyzing, in real time, job role data, resume based data, and sensor data associated with a plurality of individuals. A specialized memory repository is generated within a specified portion of a hardware memory device and results of the analysis are stored within the specialized memory repository. Self-learning software code for executing a job applicant selection process is generated and a plurality of current resumes and previously generated time-based resumes are retrieved for current job applicants for a specified position. The current resumes are analyzed with respect to the previously generated time-based resumes and associated inconsistencies are determined. A first job applicant is selected and the self-learning software code is modified.

    DIGITAL MEDIA CONTENT DISTRIBUTION BLOCKING
    2.
    发明申请

    公开(公告)号:US20180278582A1

    公开(公告)日:2018-09-27

    申请号:US15467098

    申请日:2017-03-23

    IPC分类号: H04L29/06 G06F21/62 G06F21/60

    摘要: A method and system for improving a digital media content transfer blocking process is provided. The method includes detecting a request for access to digital media content from a digital media provider system. Network traffic across the network is identified and it is verified that the digital media content is comprised by the network traffic. In response, investigation platform software code is executed and a database system associated with the digital media provider system is queried. A system determines if a legitimate connection based relationship exists between a user device and the digital media provider system and the digital media content is monitored. The digital media content is determined to be unauthorized for use by said user and in response the digital media content is disabled from executing functions with respect to the user device of a user.

    Resilient messaging infrastructure
    7.
    发明授权
    Resilient messaging infrastructure 有权
    弹性邮件基础设施

    公开(公告)号:US09525585B2

    公开(公告)日:2016-12-20

    申请号:US13940840

    申请日:2013-07-12

    发明人: Laurence J. Plant

    IPC分类号: G06F15/16 H04L29/06 H04L29/08

    摘要: A first message resilience client device receives from a second message resilience client device a message and a request to deliver the message to a client/server-based server application executed by a server device on behalf of a remote client/server-based client application executed by the second message resilience client device that originated the message. A determination is made as to whether a connection to the server device that executes the client/server-based server application is currently possible using at least one available connection. In response to determining that the connection to the server device that executes the client/server-based server application is not currently possible, the message is stored locally for one of later delivery to the client/server-based server application and propagation of the message to another message resilience client device on behalf of the remote client/server-based client application.

    摘要翻译: 第一消息弹性客户端设备从第二消息弹性客户端设备接收消息和将消息传递到由服务器设备代表基于远程基于客户端/服务器的客户端应用执行的基于客户端/服务器的服务器应用执行的请求 由发起消息的第二消息弹性客户端设备。 确定当前是否可以使用至少一个可用连接来连接到执行基于客户机/服务器的服务器应用的服务器设备。 为了响应于确定到执行基于客户机/服务器的服务器应用的服务器设备的连接当前不可能,该消息被本地存储以用于稍后传送到基于客户端/服务器的服务器应用程序之一并且消息的传播 代表基于远程客户端/服务器的客户端应用程序的另一个消息弹性客户端设备。

    Machine learning technical support selection

    公开(公告)号:US11080655B2

    公开(公告)日:2021-08-03

    申请号:US15916399

    申请日:2018-03-09

    摘要: A method and system for improving a machine learning technical support applicant selection process is provided. The method includes retrieving and analyzing, in real time, job role data, resume based data, and sensor data associated with a plurality of individuals. A specialized memory repository is generated within a specified portion of a hardware memory device and results of the analysis are stored within the specialized memory repository. Self-learning software code for executing a job applicant selection process is generated and a plurality of current resumes and previously generated time-based resumes are retrieved for current job applicants for a specified position. The current resumes are analyzed with respect to the previously generated time-based resumes and associated inconsistencies are determined. A first job applicant is selected and the self-learning software code is modified.

    Constructing and enhancing a deployment pattern

    公开(公告)号:US10558445B2

    公开(公告)日:2020-02-11

    申请号:US15376802

    申请日:2016-12-13

    IPC分类号: G06F17/50 G06F8/60

    摘要: An approach is provided for optimizing a deployment pattern. Event and configuration data of precedent systems is aggregated. Based on the aggregated data, a metadata model of the precedent systems is generated. Components of an initial deployment pattern of a new system are identified. Target non-functional requirements (NFRs) and target service levels of the new system are determined. Based on the metadata model, precedent system(s) that have components that match or are similar to the components in the initial deployment pattern are identified. A performance of the precedent system(s) is compared to the NFRs and target service levels. A new deployment pattern for the new system is generated. The new deployment pattern includes a modification of the components identified in the initial deployment pattern. A recommendation for deploying the new system using the new deployment pattern is generated.