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    METHODS AND APPARATUS TO ENABLE DUPLICATION CORRECTION FOR BROADCAST STATION AUDIENCE MEASUREMENT DATA
    1.
    发明申请
    METHODS AND APPARATUS TO ENABLE DUPLICATION CORRECTION FOR BROADCAST STATION AUDIENCE MEASUREMENT DATA 有权

    公开(公告)号：US20220277328A1

    公开(公告)日：2022-09-01

    申请号：US17745629

    申请日：2022-05-16

    申请人： The Nielsen Company (US), LLC

    发明人： Helena Mendrisova ,  Edward Ellis Cohen ,  Dipti Umesh Shah ,  Antonia Toupet ,  Elisabeth Adams

    IPC分类号： G06Q30/02

    摘要： Methods, apparatus, systems and articles of manufacture to enable duplication correction for broadcast station audience measurement data are disclosed. An example apparatus to generate ratings information includes memory and processor circuitry to execute computer readable instructions to at least generate listening data based on collected audience measurement data, match demographic information included in the listening data to a demographic group, the demographic group included in a list of demographic mappings, determine a digital cumulative audience measurement based on contribution weights associated with a first set of panelists included in the listening data, determine a duplicate cumulative audience measurement based on contribution weights associated with a second set of panelists included in the listening data, and calculate an unduplication factor based on a ratio of the digital cumulative audience measurement and the duplicate cumulative audience measurement.

    METHODS AND APPARATUS TO CORRECT ATTRIBUTION ERRORS AND COVERAGE BIAS FOR DIGITAL AUDIO RATINGS
    3.
    发明申请
    METHODS AND APPARATUS TO CORRECT ATTRIBUTION ERRORS AND COVERAGE BIAS FOR DIGITAL AUDIO RATINGS 审中-公开
    校正数字音频评分的归因误差和覆盖偏差的方法和装置

    公开(公告)号：US20160379234A1

    公开(公告)日：2016-12-29

    申请号：US15194113

    申请日：2016-06-27

    申请人： The Nielsen Company (US), LLC

    发明人： Dipti Umesh Shah ,  Edward Ellis Cohen ,  Antonia Toupet ,  Helena Mendrisova

    IPC分类号： G06Q30/02 ,  H04L29/06 ,  H04H60/90 ,  H04H20/86 ,  H04H60/58

    摘要： Methods, apparatus, systems and articles of manufacture to correct attribution errors and coverage bias for digital audio ratings are disclosed. An example method includes applying, by executing an instruction with a processor, a duration-based count matrix to first demographic data associated with collected impressions of digital audio to determine second demographic data, the duration-based count matrix being based on a misattribution adjustment matrix, applying, by executing an instruction with the processor, a coverage adjustment vector to the second demographic data to determine third demographic data, applying, by executing an instruction with the processor, a scaling factor to the third demographic data to determine fourth demographic data, and generating, by executing an instruction with the processor, ratings data at a daypart-level using the fourth demographic data, the ratings data associated with the digital audio.

    摘要翻译： 公开了用于纠正数字音频等级的归因误差和覆盖偏差的方法，装置，系统和制造。 示例性方法包括：通过用处理器执行指令，将基于持续时间的计数矩阵应用于与收集的数字音频的印象相关联的第一人口统计数据，以确定第二人口统计数据，基于持续时间的计数矩阵基于误配置调整矩阵 通过与所述处理器执行指令，将覆盖调整向量应用于所述第二人口统计数据以确定第三人口统计数据，通过与所述处理器执行指令来应用所述第三人口统计数据的缩放因子以确定第四人口统计数据， 以及通过使用所述处理器执行指令，使用所述第四人口统计数据，与所述数字音频相关联的所述评级数据来生成在时间段级别的评价数据。

    Method and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications
    5.
    发明授权
    Method and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications 有权

    公开(公告)号：US10237419B2

    公开(公告)日：2019-03-19

    申请号：US16003720

    申请日：2018-06-08

    申请人： The Nielsen Company (US), LLC

    发明人： Dipti Umesh Shah ,  Antonia Toupet

    IPC分类号： G06Q30/02 ,  H04H60/33 ,  H04L29/12 ,  H04M15/00 ,  H04M7/00 ,  H04N21/258

    摘要： Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed. An example method includes improving an accuracy of the first impressions counts by: determining a database proprietor frequency value for ones of demographic groups for a first one of time segments; calculating a distributor-level unique audience adjustment factor for ones of the demographic groups for the first one of the time segments; determining adjusted unique audience sizes based on the distributor-level unique audience adjustment factor for ones of the demographic groups for the first one of the time segments; for ones of the demographic groups for the first one of the time segments, calculating adjusted impressions counts by determining a product of the adjusted unique audience sizes and the database proprietor frequency value; determining a scaling factor for the first one of the time segments by determining a ratio between site census impressions counts and a summation of the adjusted impressions counts associated with the ones of the demographic groups for the first one of the time segments; applying the scaling factor to the adjusted impressions counts associated with the ones of the demographic groups for the first one of the time segments to generate adjusted and scaled impressions counts; and determining an adjusted and scaled duration for ones of the demographic groups for the first one of the time segments by multiplying the adjusted and scaled impressions counts associated with the first ones of the demographic groups by a corresponding time value associated with the first one of the time segments.

    METHODS AND APPARATUS TO CORRECT ATTRIBUTION ERRORS AND COVERAGE BIAS FOR DIGITAL AUDIO RATINGS
    10.
    发明申请
    METHODS AND APPARATUS TO CORRECT ATTRIBUTION ERRORS AND COVERAGE BIAS FOR DIGITAL AUDIO RATINGS 有权

    公开(公告)号：US20210081975A1

    公开(公告)日：2021-03-18

    申请号：US16915503

    申请日：2020-06-29

    申请人： The Nielsen Company (US), LLC

    发明人： Dipti Umesh Shah ,  Edward Ellis Cohen ,  Antonia Toupet ,  Helena Mendrisova

    IPC分类号： G06Q30/02 ,  H04H60/58 ,  H04H60/45 ,  H04H60/31 ,  H04H60/76

    摘要： Methods, apparatus, systems and articles of manufacture to correct attribution errors and coverage bias for digital audio ratings are disclosed. An example method includes applying, by executing an instruction with a processor, a duration-based count matrix to first demographic data associated with collected impressions of digital audio to determine second demographic data, the duration-based count matrix being based on a misattribution adjustment matrix, applying, by executing an instruction with the processor, a coverage adjustment vector to the second demographic data to determine third demographic data, applying, by executing an instruction with the processor, a scaling factor to the third demographic data to determine fourth demographic data, and generating, by executing an instruction with the processor, ratings data at a daypart-level using the fourth demographic data, the ratings data associated with the digital audio.