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    Predicting the outcome of events based on related internet activity
    2.
    发明授权
    Predicting the outcome of events based on related internet activity 有权
    基于相关互联网活动预测事件的结果

    公开(公告)号：US08209277B2

    公开(公告)日：2012-06-26

    申请号：US12368180

    申请日：2009-02-09

    申请人： Anurag Kumar ,  Supreeth Hosur Nagesh Rao ,  Nangavaram Sundararajan Sekar

    发明人： Anurag Kumar ,  Supreeth Hosur Nagesh Rao ,  Nangavaram Sundararajan Sekar

    IPC分类号： G06F15/173 ,  G06N5/02

    CPC分类号： G06F15/173 ,  G06N5/02 ,  G06N99/005 ,  H04L67/00 ,  H04L67/22

    摘要： Particular embodiments of the present invention are directed to systems and methods for predicting the outcome of events based on internet activity associated with such events. For example, an internet activity metric associated with one or more events may be determined. The internet activity metric may be based at least on the popularity of particular search terms related to the events. The outcomes of the events may also be determined. The determined internet activity metrics and the outcomes of the one or more events may be analyzed to generate an algorithm for predicting the outcomes of subsequent events. For example, an internet activity metric associated with a particular subsequent event (e.g., based at least on the popularity of a particular search term related to the subsequent event) may be determined, and the algorithm may be applied to the internet activity metric to predict the outcome of the particular subsequent event.

    摘要翻译： 本发明的特定实施例涉及用于基于与这种事件相关联的因特网活动来预测事件结果的系统和方法。 例如，可以确定与一个或多个事件相关联的因特网活动度量。 互联网活动度量可以至少基于与事件相关的特定搜索词的普及。 事件的结果也可以确定。 可以分析确定的因特网活动指标和一个或多个事件的结果，以生成用于预测后续事件的结果的算法。 例如，可以确定与特定后续事件相关联的因特网活动度量（例如，至少基于与后续事件相关的特定搜索词的受欢迎程度），并且该算法可以应用于互联网活动度量以预测 特定后续事件的结果。

    Social content suggestions based on connections
    5.
    发明授权
    Social content suggestions based on connections 有权
    基于连接的社交内容建议

    公开(公告)号：US09367878B2

    公开(公告)日：2016-06-14

    申请号：US13606598

    申请日：2012-09-07

    申请人： Supreeth Hosur Nagesh Rao

    发明人： Supreeth Hosur Nagesh Rao

    IPC分类号： G06F17/30 ,  G06Q50/00

    CPC分类号： G06Q50/01

    摘要： A system and method for recommending content to a user in a social network, including: logging user activity for the user in the social network; categorizing the user activity across all the user's networks, wherein each category is assigned a score based on relevance to the user; assigning weights to the user activities; calculating a social index score as a function of the weighted user activity categories; logging user content into categories; scoring the user content; and generating a content social index by weighting the content scores.

    摘要翻译： 一种用于向社交网络中的用户推荐内容的系统和方法，包括：在社交网络中记录用户的用户活动; 对所有用户网络上的用户活动进行分类，其中根据与用户的相关性为每个类别分配一个分数; 为用户活动分配权重; 计算作为加权用户活动类别的函数的社会指数得分; 将用户内容记录到类别中; 评分用户内容; 以及通过对所述内容分数进行加权来生成内容社会索引。

    SYSTEM TO SUGGEST AND AUTOMATICALLY ORGANIZE EVENTS FOR SOCIAL ACTIVITIES
    6.
    发明申请
    SYSTEM TO SUGGEST AND AUTOMATICALLY ORGANIZE EVENTS FOR SOCIAL ACTIVITIES 审中-公开
    系统建立和自动组织社会活动事件

    公开(公告)号：US20120254764A1

    公开(公告)日：2012-10-04

    申请号：US13078795

    申请日：2011-04-01

    申请人： Kalyan Ayloo ,  Supreeth Hosur Nagesh Rao

    发明人： Kalyan Ayloo ,  Supreeth Hosur Nagesh Rao

    IPC分类号： G06F3/01

    CPC分类号： G06Q50/01 ,  G06Q30/02

    摘要： Embodiments are directed towards automatically organizing an event for users to participate in an activity. The system can display suggestions for a plurality of activities to a user. Further, the system may selectively display information about at least one other user with at least one activity of the plurality of activities. The at least one other user may be identified based on the at least one other user having an interest in the at least one activity. Thus, the user may be able to view other users who are interested in an activity and may be nudged to also be interested in the activity. When a minimum number of other users indicate an explicit interest for an activity, the system can automatically organize an event for the users for the activity. The event may be a physical offline gathering of users that are interested in the activity.

    摘要翻译： 实施例旨在自动组织用于参与活动的用户的事件。 系统可以向用户显示针对多个活动的建议。 此外，系统可以选择性地显示关于多个活动的至少一个活动的关于至少一个其他用户的信息。 可以基于至少一个其他用户在至少一个活动中具有兴趣来识别至少一个其他用户。 因此，用户可以能够查看对活动感兴趣的其他用户，并且可以被推动以对活动感兴趣。 当最少数量的其他用户指示对活动的明确兴趣时，系统可以自动组织用于活动的用户的事件。 该活动可能是对活动感兴趣的用户的物理离线收集。

    SYSTEM AND METHOD FOR MONETIZING USER-GENERATED WEB CONTENT
    7.
    发明申请
    SYSTEM AND METHOD FOR MONETIZING USER-GENERATED WEB CONTENT 有权
    用于生成用户生成的WEB内容的系统和方法

    公开(公告)号：US20120059722A1

    公开(公告)日：2012-03-08

    申请号：US12874543

    申请日：2010-09-02

    申请人： Supreeth Hosur Nagesh Rao

    发明人： Supreeth Hosur Nagesh Rao

    IPC分类号： G06Q30/00

    CPC分类号： G06Q30/0269 ,  G06Q30/0273 ,  G06Q30/0277

    摘要： A system and method for monetizing user-generated web content are provided. The system includes a tracking engine operable to track user activity taking place a plurality of social networks. The tracking engine is in communication with an branding engine, which is notified when a user publishes content on a social network. The ad branding engine is configured to analyze user-published content and select at least one advertisement contextually related thereto. The ad branding engine incorporates the advertisement with the user-published content, and in turn, the user is compensated.

    摘要翻译： 提供了一种用于通过用户生成的Web内容获利的系统和方法。 该系统包括跟踪引擎，其可操作以跟踪发生多个社交网络的用户活动。 跟踪引擎与品牌引擎通信，当用户在社交网络上发布内容时，该引擎被通知。 广告品牌引擎被配置为分析用户发布的内容并且选择至少一个与其相关的内容相关的广告。 广告品牌引擎将广告与用户发布的内容相结合，反过来，用户得到补偿。

    System and method for dynamically monetizing keyword values
    10.
    发明授权
    System and method for dynamically monetizing keyword values 有权
    用于动态获取关键字值的系统和方法

    公开(公告)号：US08069160B2

    公开(公告)日：2011-11-29

    申请号：US12344005

    申请日：2008-12-24

    申请人： Supreeth Hosur Nagesh Rao

    发明人： Supreeth Hosur Nagesh Rao

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30616 ,  G06Q30/02 ,  G06Q40/04

    摘要： A system and method for dynamically monetizing keyword values based on a correlation between one or more indices. The method includes generating a first index for a subject being searched by users via web server, and a second index for the subject based on a corresponding level of popularity. The first index is correlated with the second index to predict a future second index for the subject based on the first index.

    摘要翻译： 一种基于一个或多个索引之间的相关性来动态地利用关键字值的系统和方法。 该方法包括：通过Web服务器为用户搜索的对象生成第一索引，以及基于相应的受欢迎程度为对象提供第二索引。 第一个索引与第二个索引相关联，以基于第一个索引预测主题的未来第二个索引。