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    • 3. 发明申请
    • Topic and Time Based Media Affinity Estimation
    • 主题和基于时间的媒体亲和度估计
    • US20130018896A1
    • 2013-01-17
    • US13548901
    • 2012-07-13
    • Michael Ben FleischmanDeb Kumar RoyJeremy RishelAnjali MidhaMatthew Miller
    • Michael Ben FleischmanDeb Kumar RoyJeremy RishelAnjali MidhaMatthew Miller
    • G06F17/30
    • G06F17/30017G06F17/30029G06F17/30528G06Q30/0278G06Q50/01
    • An affinity server estimates an affinity between two different time based media events (e.g., TV, radio, social media content stream), between a time based media event and a specific topic, or between two different topics, where the affinity score represents an intersection between the populations of social media users who have authored social media content items regarding the two different events and/or topics. The affinity score represents an estimation of the real world affinity between the real world population of people who have an interest in both time based media events, both topics, or in a time based media event and a topic. One possible threshold for including a social media user in a population may be based on a confidence score that indicates the confidence that one or more social media content items authored by the social media user are relevant to the topic or event in question.
    • 亲和度服务器估计在基于时间的媒体事件和特定话题之间的两个不同的基于时间的媒体事件(例如,TV,无线电,社交媒体内容流)之间或两个不同主题之间的亲和度,其中亲和度分数表示交集 在两个不同的事件和/或主题之间创作社交媒体内容的社交媒体用户之间。 亲和度分数表示对现实世界中有时间的媒体事件,两个主题或基于时间的媒体事件和主题感兴趣的人之间的真实世界关系的估计。 将社交媒体用户包括在群体中的一个可能的阈值可以基于置信度得分,该置信度得分指示由社交媒体用户创作的一个或多个社交媒体内容项目与所讨论的主题或事件相关的置信度。
    • 7. 发明授权
    • Cross media targeted message synchronization
    • 跨媒体定位消息同步
    • US09432721B2
    • 2016-08-30
    • US14520097
    • 2014-10-21
    • BlueFin Labs, Inc.
    • Michael Ben FleischmanDeb Kumar Roy
    • H04N7/10H04N7/025H04N5/445H04N21/43H04N21/24H04N21/2543H04N21/81G06Q10/00H04N21/234H04N21/262
    • H04N21/4307G06Q10/00H04N21/23418H04N21/2407H04N21/25435H04N21/262H04N21/812H04N21/8126
    • Social media content items and references to events that occur therein are aligned with the time-based media events they describe. These mappings may be used as the basis for sending messages to populations of authors of content items, where the populations are determined based on whether the author has written a content item that refers to a specific TV show or advertisement. TV streams are monitored to detect when and where a specific advertisement for a particular advertiser is shown. Concurrently, social media streams are monitored for content items that refer to or are about specific TV shows and advertisements. Responsive to a specific advertisement being detected as being shown during a specific TV show, a message associated with the advertisement is sent to the authors of the content items associated with that TV show or advertisement. The messages can be transmitted while the advertisement is being shown.
    • 社交媒体内容项目和对其中发生的事件的引用与他们描述的基于时间的媒体事件相一致。 可以将这些映射作为将消息发送给内容作者作者的基础,其中根据作者是否写出涉及特定电视节目或广告的内容项来确定人群。 监视电视流,以检测特定广告商的特定广告的何时和何地被显示。 同时,对涉及或涉及特定电视节目和广告的内容项目进行社会媒体流的监控。 响应于在特定电视节目中被检测到的特定广告,与广告相关联的消息被发送到与该电视节目或广告相关联的内容项目的作者。 可以在广告显示时传送消息。