Ranking Authors in Social Media Systems
    1.
    发明申请
    Ranking Authors in Social Media Systems 有权
    社交媒体系统排名作者

    公开(公告)号:US20120117059A1

    公开(公告)日:2012-05-10

    申请号:US12942577

    申请日:2010-11-09

    IPC分类号: G06F17/30

    CPC分类号: G06Q50/01 G06F17/30867

    摘要: The author ranking technique described herein is a technique to rank authors in social media systems along various dimensions, using a variety of statistical methods for utilizing those dimensions. More particularly, the technique ranks authors in social media systems through a combination of statistical techniques that leverage usage metrics, and social and topical graph characteristics. In various exemplary embodiments, the technique can rank author authority by the following: 1) temporal analysis of link sharing in which authority is computed based on a user's propensity to provide early links to web pages that subsequently become popular; 2) topical authority based on the author's links and content updates in specific topic areas; and 3) popularity and influence based on nodal properties of authors.

    摘要翻译: 本文描述的作者排名技术是使用各种统计方法来利用这些维度来对各社会媒体系统中的作者进行各种维度的技术。 更具体地说,该技术通过结合利用使用度量的统计技术以及社会和局部图形特征来对社交媒体系统中的作者进行排名。 在各种示例性实施例中,该技术可以通过以下方式对作者权限进行排名:1)基于用户提供对随后变得流行的网页的早期链接的倾向来计算权限的链路共享的时间分析; 2)基于作者在特定主题领域的链接和内容更新的专题权威; 和3)基于作者的节点属性的人气和影响。

    Social Newsfeed Triage
    3.
    发明申请
    Social Newsfeed Triage 审中-公开
    社会新闻搜索

    公开(公告)号:US20120150772A1

    公开(公告)日:2012-06-14

    申请号:US12965587

    申请日:2010-12-10

    IPC分类号: G06N5/02 G06F15/18

    CPC分类号: G06N5/025 H04L51/14 H04L51/32

    摘要: A social newsfeed being delivered to a user is triaged. A personalized model is established which predicts the importance to the user of data elements within a current social newsfeed being delivered to the user. The personalized model is established based on implicit actions the user takes in response to receiving previous social newsfeeds. The personalized model is then used to triage the data elements within the current social newsfeed.

    摘要翻译: 被转交给用户的社交新闻报道被分类。 建立了个性化模型,其预测了当前社交新闻馈送被递送给用户对用户对数据元素的重要性。 个性化模型基于用户响应接收以前的社交新闻源而采取的隐含行为建立。 然后,个性化模型用于对当前社交新闻源中的数据元素进行分类。

    Computing a time-dependent variability value
    4.
    发明授权
    Computing a time-dependent variability value 有权
    计算时间依赖变异性值

    公开(公告)号:US08190477B2

    公开(公告)日:2012-05-29

    申请号:US12054390

    申请日:2008-03-25

    IPC分类号: G06Q30/00

    CPC分类号: G06Q30/02 G06Q30/0254

    摘要: A system that facilitates computation of a time-dependent variability value is described herein. The system includes a receiver component that receives a plurality of items, wherein each item has a timestamp corresponding thereto. The system further includes a value generator component that outputs a time-dependent variability value for an item in the plurality of items, wherein the time-dependent variability value is indicative of a recent frequency of use of the item in comparison to a frequency of use of the item over a defined period of time.

    摘要翻译: 本文描述了便于计算时间依赖性变异性值的系统。 该系统包括接收多个项目的接收器组件,其中每个项目具有对应于其的时间戳。 该系统还包括价值发生器组件,其输出多个项目中的项目的时间依赖变异性值,其中时间相关变异性值指示与使用频率相比最近使用项目的频率 的项目在一段确定的时间内。

    COMPUTING A TIME-DEPENDENT VARIABILITY VALUE
    5.
    发明申请
    COMPUTING A TIME-DEPENDENT VARIABILITY VALUE 有权
    计算时间依赖性的可变性值

    公开(公告)号:US20090248502A1

    公开(公告)日:2009-10-01

    申请号:US12054390

    申请日:2008-03-25

    IPC分类号: G06Q30/00 G06F15/16

    CPC分类号: G06Q30/02 G06Q30/0254

    摘要: A system that facilitates computation of a time-dependent variability value is described herein. The system includes a receiver component that receives a plurality of items, wherein each item has a timestamp corresponding thereto. The system further includes a value generator component that outputs a time-dependent variability value for an item in the plurality of items, wherein the time-dependent variability value is indicative of a recent frequency of use of the item in comparison to a frequency of use of the item over a defined period of time.

    摘要翻译: 本文描述了便于计算时间依赖性变异性值的系统。 该系统包括接收多个项目的接收器组件,其中每个项目具有对应于其的时间戳。 该系统还包括价值发生器组件,其输出多个项目中的项目的时间依赖变异性值,其中时间相关变异性值指示与使用频率相比最近使用项目的频率 的项目在一段确定的时间内。