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System and method for predicting the optimum delivery of multimedia content based on human behavior patterns

机译:基于人类行为模式预测多媒体内容最佳交付的系统和方法

摘要

A system for optimizing the delivery of multimedia content to subscribers' devices. The novel system includes a first sub-system for obtaining data on subscribers' actions on their devices and a second sub-system for recommending a delivery solution for new content based on the obtained data. In an illustrative embodiment, the second sub-system includes a neural network artificial intelligence engine adapted to predict how subscribers will respond to new content based on their monitored responses to previous content, and identify subscribers predicted to have a positive response to the new content. Optionally, the second sub-system may also identify one or more subgroups of subscribers predicted not to have a positive response to the new content and recommend modifications to the content to improve the response of these subscribers.
机译:一种用于优化多媒体内容向订户设备的传递的系统。该新颖系统包括:第一子系统,其用于获得关于订户在其设备上的动作的数据;以及第二子系统,其用于基于所获得的数据来推荐针对新内容的交付解决方案。在说明性实施例中,第二子系统包括神经网络人工智能引擎,其适于基于订户对先前内容的监视响应来预测订户将如何响应新内容,并识别被预测为对新内容具有肯定响应的订户。可选地,第二子系统还可以识别被预测为对新内容没有正面响应的订户的一个或多个子组,并推荐对该内容的修改以改善这些订户的响应。

著录项

  • 公开/公告号US2010223641A1

    专利类型

  • 公开/公告日2010-09-02

    原文格式PDF

  • 申请/专利权人 ROBERT B. HUBBARD;

    申请/专利号US20090380486

  • 发明设计人 ROBERT B. HUBBARD;

    申请日2009-02-27

  • 分类号H04N7/10;G06Q30/00;

  • 国家 US

  • 入库时间 2022-08-21 18:53:09

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