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    • 2. 发明申请
    • SYSTEM AND METHOD FOR SEGMENTING SOCIAL MEDIA PARTICIPANTS BY ATTITUDINAL SEGMENT
    • 通过分析部分分配社会媒体参与者的系统和方法
    • US20150032676A1
    • 2015-01-29
    • US13948489
    • 2013-07-23
    • Sheldon H. SmithDavid M. DiamondKathi Kim-Ellen Hurst
    • Sheldon H. SmithDavid M. DiamondKathi Kim-Ellen Hurst
    • G06N5/02G06N99/00
    • G06Q50/01G06F17/2785
    • A system. The system includes a computing device, an instance module, a topics module, an analysis module, a matching module, a modeling module and a targeting module. The computing device includes a processor and is configured to access social media information. Each of the modules are communicably connected to the processor. The instance module is configured to identify at least one of the following: a high-frequency word included in the social media information, and a high-frequency phrase included in the accessed social media information. The topics module is configured to generate a dictionary of topics associated with the accessed social media information. The analysis module is configured to analyze data from a plurality of social media accounts to generate a social media database. The matching module is configured to match a survey respondent with an associated user name included in the social media database.
    • 一个系统。 该系统包括计算设备,实例模块,主题模块,分析模块,匹配模块,建模模块和定位模块。 计算设备包括处理器并被配置为访问社交媒体信息。 每个模块可通信地连接到处理器。 实例模块被配置为识别以下中的至少一个:包括在社交媒体信息中的高频词,以及包括在所访问的社交媒体信息中的高频短语。 主题模块被配置为生成与所访问的社交媒体信息相关联的主题词典。 分析模块被配置为分析来自多个社交媒体帐户的数据以生成社交媒体数据库。 匹配模块被配置为使调查受访者与包括在社交媒体数据库中的相关联的用户名相匹配。
    • 3. 发明申请
    • SYSTEM AND METHOD FOR OPTIMIZING A MEDIA PURCHASE
    • 用于优化媒体购买的系统和方法
    • US20120330713A1
    • 2012-12-27
    • US13167899
    • 2011-06-24
    • Craig W. KowalchukSheldon H. SmithDavid Diamond
    • Craig W. KowalchukSheldon H. SmithDavid Diamond
    • G06Q10/00
    • G06Q30/02
    • A method. The method is implemented at least in part by a computing device. The method includes matching information in a first database with corresponding entries in a second database, utilizing a targeting engine to calculate a score for at least a portion of the consumers in the first database, and ranking at least a portion of the consumers in the first database based on the calculated scores. The second database is larger than the first database. The method also includes comparing media behavior of a first group of ranked consumers in the first database with media behavior of a second group of consumers in the first database. The matching, calculating, ranking and comparing are performed by the computing device.
    • 一个方法。 该方法至少部分地由计算设备实现。 该方法包括将第一数据库中的信息与第二数据库中的相应条目进行匹配,利用目标引擎来计算第一数据库中消费者的至少一部分的分数,以及排列第一数据库中消费者的至少一部分 数据库基于计算得分。 第二个数据库大于第一个数据库。 该方法还包括将第一数据库中的第一组排序消费者的媒体行为与第一数据库中第二组消费者的媒体行为进行比较。 匹配,计算,排序和比较由计算设备执行。