Method and apparatus for content classification
    1.
    发明申请
    Method and apparatus for content classification 有权
    内容分类方法和装置

    公开(公告)号:US20060161986A1

    公开(公告)日:2006-07-20

    申请号:US11272461

    申请日:2005-11-09

    IPC分类号: G06F12/14

    CPC分类号: H04L63/0245 H04L63/145

    摘要: A method and apparatus is described to select a representative signature for use in identifying content in a packet stream. The method may comprise receiving the packet stream and obtaining content from a data payload of the packet. Thereafter, a plurality of signatures is identified from the content and a complexity score or a frequency score is determined based on the content. A signature of the plurality of signatures is then selected as the representative signature based on the complexity score or the frequency score.

    摘要翻译: 描述了一种方法和装置来选择用于识别分组流中的内容的代表性签名。 该方法可以包括从分组的数据有效载荷接收分组流并获得内容。 此后,根据内容识别多个签名,并且基于内容来确定复杂度分数或频率分数。 然后,基于复杂度分数或频率得分,选择多个签名的签名作为代表签名。

    Method and apparatus for content classification
    2.
    发明授权
    Method and apparatus for content classification 有权
    内容分类方法和装置

    公开(公告)号:US08010685B2

    公开(公告)日:2011-08-30

    申请号:US11272461

    申请日:2005-11-09

    IPC分类号: G06F15/16 G06F11/00

    CPC分类号: H04L63/0245 H04L63/145

    摘要: A method and apparatus is described to select a representative signature for use in identifying content in a packet stream. The method may comprise receiving the packet stream and obtaining content from a data payload of the packet. Thereafter, a plurality of signatures is identified from the content and a complexity score or a frequency score is determined based on the content. A signature of the plurality of signatures is then selected as the representative signature based on the complexity score or the frequency score.

    摘要翻译: 描述了一种方法和装置来选择用于识别分组流中的内容的代表性签名。 该方法可以包括从分组的数据有效载荷接收分组流并获得内容。 此后,根据内容识别多个签名,并且基于内容来确定复杂度分数或频率分数。 然后,基于复杂度分数或频率得分,选择多个签名的签名作为代表签名。

    AUDIENCE GENERATION USING PSYCHOGRAPHIC DATA

    公开(公告)号:US20220156799A1

    公开(公告)日:2022-05-19

    申请号:US17454532

    申请日:2021-11-11

    IPC分类号: G06Q30/02 G06F40/40

    摘要: In some examples, a system for determining a level of self-image congruence comprises at least one processor and a memory storing instructions which, when executed by the at least one processor among the processors, cause the system to perform operations comprising, at least: selecting one or more self-image attributes that align with a brand-user image; defining each of the selected self-image attributes via a type of subject matter that is of interest to consumers identifying with the selected attributes; identify consumers exhibiting one or more of the selected attributes based on a digital footprint including an online content consumption; computing a congruence score for each identified consumer relative to each selected attribute; and rating the resulting set of consumers based on their respective congruence scores for the selected attributes.