Application integration for operating systems without inter-process integration support
    51.
    发明授权
    Application integration for operating systems without inter-process integration support 有权
    无需进程间集成支持的操作系统的应用程序集成

    公开(公告)号:US07870566B2

    公开(公告)日:2011-01-11

    申请号:US11466866

    申请日:2006-08-24

    CPC classification number: G06F9/451 G06F9/542 G06F2209/543 G06F2209/545

    Abstract: To integrate a parent application and a child application, the parent application receives events through a user interface. If the events are to be processed by the child application, they are propagated to the child application. The child application generates content data based on the received events, writes the content data into a storage module, and then notifies the parent application. The parent application reads out the content data written in the storage module.

    Abstract translation: 为了集成父应用程序和子应用程序,父应用程序通过用户界面接收事件。 如果事件由子应用程序处理,则它们被传播到子应用程序。 子应用程序基于接收的事件生成内容数据,将内容数据写入存储模块,然后通知父应用程序。 父应用程序读取存储模块中写入的内容数据。

    ANTI-SPAM TOOL FOR BROWSER
    52.
    发明申请
    ANTI-SPAM TOOL FOR BROWSER 有权
    反垃圾邮件工具

    公开(公告)号:US20090216868A1

    公开(公告)日:2009-08-27

    申请号:US12035124

    申请日:2008-02-21

    CPC classification number: G06F17/30899 G06F21/50

    Abstract: An anti-spam tool works with a web browser to detect spam webpages locally on a client machine. The anti-spam tool can be implemented either as a plug-in module or an integral part of the browser, and manifested as a toolbar. The tool can perform an anti-spam action whenever a webpage is accessed through the browser, and does not require direct involvement of a search engine. A spam detection module installed on the computing device determines whether a webpage being accessed or whether a link contained in the webpage being accessed is spam, by comparing the URL of the webpage or the link with a spam list. The spam list can be downloaded from a remote search engine server, stored locally and updated from time to time. A two-level indexing technique is also introduced to improve the efficiency of the anti-spam tool's use of the spam list.

    Abstract translation: 反垃圾邮件工具与网络浏览器配合使用,可以在客户机上本地检测垃圾邮件网页。 反垃圾邮件工具可以作为插件模块或浏览器的组成部分来实现,并且表现为工具栏。 每当通过浏览器访问网页时,该工具都可以执行反垃圾邮件操作,并且不需要直接参与搜索引擎。 安装在计算设备上的垃圾邮件检测模块通过将网页或链接的URL与垃圾邮件列表进行比较来确定正在访问的网页是否被访问的网页中包含的链接是垃圾邮件。 垃圾邮件列表可以从远程搜索引擎服务器下载,本地存储和不时更新。 还引入了两级索引技术,以提高反垃圾邮件工具使用垃圾邮件列表的效率。

    RANKING DOCUMENTS BASED ON A SERIES OF DOCUMENT GRAPHS
    53.
    发明申请
    RANKING DOCUMENTS BASED ON A SERIES OF DOCUMENT GRAPHS 有权
    基于一系列文件图表的排序文件

    公开(公告)号:US20080313168A1

    公开(公告)日:2008-12-18

    申请号:US11764554

    申请日:2007-06-18

    CPC classification number: G06F17/30864

    Abstract: Ranking documents based on a series of web graphs collected over time is provided. A ranking system provides multiple transition probability distributions representing different snapshots or times. Each transition probability distribution represents a probability of transitioning from one document to another document within a collection of documents using a link of the document. The ranking system determines a stationary probability distribution for each snapshot based on the transition probability distributions for that snapshot and the stationary probability distribution of the previous snapshot. The stationary probability distributions represent a ranking of the documents over time.

    Abstract translation: 提供了基于随时间收集的一系列网络图表排列文档。 排名系统提供代表不同快照或时间的多个转移概率分布。 每个转移概率分布表示使用文档的链接在一个文档集合内从一个文档转换到另一个文档的概率。 排名系统基于该快照的转移概率分布和先前快照的固定概率分布确定每个快照的固定概率分布。 固定概率分布代表文档随时间的排列。

    Co-clustering objects of heterogeneous types
    54.
    发明授权
    Co-clustering objects of heterogeneous types 有权
    异构类型的聚类对象

    公开(公告)号:US07461073B2

    公开(公告)日:2008-12-02

    申请号:US11354208

    申请日:2006-02-14

    Abstract: A method and system for high-order co-clustering of objects of heterogeneous types using multiple bipartite graphs is provided. A clustering system represents relationships between objects of a first type and objects of a third type as a first bipartite graph and relationships between objects of a second type and objects of the third type as a second bipartite graph. The clustering system defines an objective function that specifies an objective of the clustering process that combines an objective for the first bipartite graph and an objective for the second bipartite graph. The clustering system solves the objective function and then applies a clustering algorithm such as the K-means algorithm to the solution to identify the clusters of heterogeneous objects.

    Abstract translation: 提供了使用多个二分图的异构类型的对象的高阶共聚的方法和系统。 聚类系统表示第一类型的对象与第三类型的对象之间的关系,作为第二个二分图,第二类的对象与第三类的对象之间的关系作为第二个二分图。 聚类系统定义了一个目标函数,该目标函数指定了组合第一个二分图的目标和第二个二分图的目标的聚类过程的目标。 聚类系统解决了目标函数,然后将K-means算法的聚类算法应用于解决方案,以识别异构对象的簇。

    CALCULATING IMPORTANCE OF DOCUMENTS FACTORING HISTORICAL IMPORTANCE
    55.
    发明申请
    CALCULATING IMPORTANCE OF DOCUMENTS FACTORING HISTORICAL IMPORTANCE 有权
    计算历史重要性文件的重要性

    公开(公告)号:US20080256051A1

    公开(公告)日:2008-10-16

    申请号:US11734336

    申请日:2007-04-12

    CPC classification number: G06F17/30882 G06F17/30864

    Abstract: A method and system for determining temporal importance of documents having links between documents based on a temporal analysis of the links is provided. A temporal ranking system collects link information or snapshots indicating the links between documents at various snapshot times. The temporal ranking system calculates a current temporal importance of a document by factoring in the current importance of the document derived from the current snapshot (i.e., with the latest snapshot time) and the historical importance of the document derived from the past snapshots. To calculate the current temporal importance of a web page, the temporal ranking system aggregates the importance of the web page for each snapshot.

    Abstract translation: 提供了一种用于基于链接的时间分析来确定具有文档之间的链接的文档的时间重要性的方法和系统。 时间排序系统收集指示各种快照时间的文档之间的链接的链接信息或快照。 时间排序系统通过考虑从当前快照(即,具有最新快照时间)导出的文档的当前重要性以及从过去快照导出的文档的历史重要性来计算文档的当前时间重要性。 为了计算网页的当前时间重要性,时间排序系统聚合每个快照的网页的重要性。

    Co-clustering objects of heterogeneous types
    56.
    发明申请
    Co-clustering objects of heterogeneous types 有权
    异构类型的聚类对象

    公开(公告)号:US20070192350A1

    公开(公告)日:2007-08-16

    申请号:US11354208

    申请日:2006-02-14

    Abstract: A method and system for high-order co-clustering of objects of heterogeneous types using multiple bipartite graphs is provided. A clustering system represents relationships between objects of a first type and objects of a third type as a first bipartite graph and relationships between objects of a second type and objects of the third type as a second bipartite graph. The clustering system defines an objective function that specifies an objective of the clustering process that combines an objective for the first bipartite graph and an objective for the second bipartite graph. The clustering system solves the objective function and then applies a clustering algorithm such as the K-means algorithm to the solution to identify the clusters of heterogeneous objects.

    Abstract translation: 提供了使用多个二分图的异构类型的对象的高阶共聚的方法和系统。 聚类系统表示第一类型的对象与第三类型的对象之间的关系,作为第二个二分图,第二类的对象与第三类的对象之间的关系作为第二个二分图。 聚类系统定义了一个目标函数,该目标函数指定了组合第一个二分图的目标和第二个二分图的目标的聚类过程的目标。 聚类系统解决了目标函数,然后将K-means算法的聚类算法应用于解决方案,以识别异构对象的簇。

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