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    • 1. 发明申请
    • POLICY-BASED MEDIA SYNDICATION AND MONETIZATION
    • 基于政策的媒体协调和手段
    • WO2010118152A1
    • 2010-10-14
    • PCT/US2010/030266
    • 2010-04-07
    • GOOGLE INC.HARRISON, KyleKING, DavidON, Robert
    • HARRISON, KyleKING, DavidON, Robert
    • G06Q30/00
    • H04N7/17318G06Q30/02G06Q30/0247G06Q30/0254G06Q30/0274H04N21/2541H04N21/2743
    • Hosted content received from media hosts is used to generate a set of fingerprints representing the hosted content. The fingerprints representing the hosted content are compared to a set of fingerprints representing reference content submitted by content owners to generate one or more match metrics. Based on the match metrics, the media host may provide indication that they accept policy terms specified by the content owners, including revenue sharing terms. If the media host accepts the revenue sharing terms, the media host may provide advertising content to viewers in association with the hosted content matching the reference content. Funds received from providing advertising content are distributed to the media host and the content owner according to the revenue sharing terms.
    • 从媒体主机接收的主机内容用于生成一组代表托管内容的指纹。 将表示托管内容的指纹与表示由内容所有者提交以生成一个或多个匹配度量的参考内容的一组指纹进行比较。 根据比赛指标,媒体主持人可能会提供他们接受内容所有者指定的政策条款的指示,包括收益分享条款。 如果媒体主机接受收益共享条款,则媒体主机可以向与参考内容匹配的托管内容相关联的观众提供广告内容。 从提供广告内容收到的资金根据收入分配条件分发给媒体主持人和内容所有者。
    • 2. 发明申请
    • SELECTING MEDIA ADVERTISEMENTS FOR PRESENTATION BASED ON THEIR PREDICTED PLAYTIMES
    • 基于预测时间选择媒体广告进行展示
    • WO2012067938A2
    • 2012-05-24
    • PCT/US2011/060182
    • 2011-11-10
    • GOOGLE INC.ON, RobertSCOTT, Steven, Lee
    • ON, RobertSCOTT, Steven, Lee
    • G06Q30/00G06Q50/00
    • G06Q30/0251G06Q30/0272
    • Advertisers provide bids for presenting temporal media ads along with content presented to users. The bids presented comprise a cost per unit time of presentation of the temporal media ad. Advertisers specify target audience and target media content for presenting their ads. A candidate set of ads is selected for presentation to the user along with requested content based on the temporal media ad targeting criteria. Machine learning techniques are used for predicting playtimes of ads based on features extracted from user attributes, content, and time of presentation. A winning temporal media ad is selected from the candidate set of ads based on predicted playtimes of ads in the candidate set of ads. An auction scheme is used for selecting a winning temporal media ad from the candidate ads.
    • 广告商提供用于呈现时间媒体广告以及呈现给用户的内容的出价。 所呈现的投标包括时间媒体广告的每单位时间呈现的成本。 广告商指定目标受众和目标媒体内容来展示他们的广告。 基于时间媒体广告定位标准,选择一组候选广告连同所请求的内容一起呈现给用户。 机器学习技术用于基于从用户属性,内容和演示时间提取的特征来预测广告的播放时间。 基于候选广告集合中的广告的预测播放时间从候选广告集合中选择获胜的时间媒体广告。 拍卖方案用于从候选广告中选择获胜的时间媒体广告。