PROMOTING WEBSITES BASED ON LOCATION
    2.
    发明申请
    PROMOTING WEBSITES BASED ON LOCATION 有权
    基于位置推广网站

    公开(公告)号:US20090292684A1

    公开(公告)日:2009-11-26

    申请号:US12124975

    申请日:2008-05-21

    IPC分类号: G06F17/30

    摘要: A computer system, method, and media for associating locations with ranked websites are provided. The computer system includes a search engine, a log database, and a location database that are employed to respond to search requests from users by returning appropriately ranked websites to the user. The websites are ranked using the location of the website and the location of the user to select websites to receive high ranks. Additionally, the search engine includes a correction feature that reevaluates locations for a website or user when a large number of obtained locations suggest a different location than a currently associated location for the website or the user.

    摘要翻译: 提供了一种用于将位置与排名网站相关联的计算机系统,方法和媒体。 计算机系统包括搜索引擎,日志数据库和位置数据库,用于通过向用户返回适当排名的网站来响应来自用户的搜索请求。 网站使用网站的位置和用户的位置来选择网站进行排名。 此外,搜索引擎包括校正功能,当大量获得的位置建议与网站或用户的当前相关联的位置不同的位置时,重新评估网站或用户的位置。

    Ranking Authors in Social Media Systems
    4.
    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。