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    • 6. 发明申请
    • SYSTEMS, METHODS AND MACHINE READABLE MEDIUMS TO SELECT A TITLE FOR CONTENT PRODUCTION
    • 系统,方法和机器可读介质选择内容生产标题
    • WO2012021224A3
    • 2012-04-05
    • PCT/US2011042458
    • 2011-06-29
    • DEMAND MEDIA INCREESE WILLIAM BYRON
    • REESE WILLIAM BYRON
    • G06F17/00G06F17/30
    • G06F17/30864G06Q30/02
    • Systems, methods and machine-readable mediums to identify web page titles for content production are provided. The systems may include a storage device and a processor. The storage device may store a plurality of titles, each title is associated with a respective one of a plurality of web pages. The processor may be programmed to select a title from the plurality of titles and determine a value for the selected title. The value may be based on the number of times that the selected title appears in the plurality of titles, and on the number of web pages that link to the selected title. If the value is greater than a first threshold level, the processor may be programmed to identify the selected title for online publication.
    • 提供了用于识别用于内容制作的网页标题的系统,方法和机器可读介质。 系统可以包括存储设备和处理器。 存储设备可以存储多个标题,每个标题与多个网页中的相应一个相关联。 处理器可以被编程为从多个标题中选择标题并且确定所选标题的值。 该值可以基于所选标题在多个标题中出现的次数以及链接到所选标题的网页的数量。 如果该值大于第一阈值水平,则处理器可以被编程以标识用于在线发布的所选标题。
    • 9. 发明申请
    • SYSTEMS AND METHODS FOR PREDICTING REVENUE FOR WEB-BASED CONTENT
    • 用于基于WEB的内容预测收入的系统和方法
    • WO2014176091A1
    • 2014-10-30
    • PCT/US2014/034341
    • 2014-04-16
    • DEMAND MEDIA, INC.
    • MAGNAGHI, AntonioDAW, JeremyLEE, Jeong-Yoon
    • G06Q40/02
    • G06F17/30303G06F17/30371G06F17/3053G06F17/30864G06Q30/0202
    • Embodiments of the present disclosure help content providers maximize the profitability of the online content they produce by providing an accurate, inexpensive, and timely quantitative estimate of the revenue the content is likely to generate. Various embodiments can refine estimates based on real-time or near-real-time data in conjunction with historical pricing data, thereby further improving the accuracy of the revenue predictions. A computer-implemented method according to one embodiment of the present disclosure comprises receiving, by a computer system, information regarding a topic; identifying, by the computer system, a format for content associated with the topic; and determining a score indicative of predicted revenue generated from future content in the identified format associated with the topic, wherein determining the score is based on a revenue model under which revenue from the future content would be generated.
    • 本公开的实施例帮助内容提供者通过提供内容可能产生的收入的准确,便宜和及时的定量估计来最大化其所生产的在线内容的利润。 各种实施例可以结合历史定价数据来改进基于实时或近实时数据的估计,从而进一步提高收入预测的准确性。 根据本公开的一个实施例的计算机实现的方法包括:由计算机系统接收关于主题的信息; 由计算机系统识别与该主题相关联的内容的格式; 以及确定指示由与所述主题相关联的所识别的格式的未来内容产生的预测收入的分数,其中,确定所述分数基于将在其下生成未来内容的收入的收入模型。