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    • 3. 发明申请
    • Visual representation tool for course of action planning
    • 视觉表征工具,用于行动计划
    • US20060184463A1
    • 2006-08-17
    • US11013781
    • 2004-12-16
    • Robert CookPatrick TuftsTerence RyanTomi PierceW. Hillis
    • Robert CookPatrick TuftsTerence RyanTomi PierceW. Hillis
    • G06F15/18
    • G06N20/00
    • Systems and methods are provided for evaluating a plurality of courses of action according to a plurality of decision factors. A system memory contains a decision model comprising a plurality of global influence values and the plurality of courses of action. Each course of action has an associated set of decision parameters corresponding to the plurality of decision factors. An input device is operative to receive input from a user to adjust the values of the global influence values. A computational engine calculates a fitness parameter for each course of action based on the set of decision parameters for the course of action and the global influence values. The computational engine is operative to update the decision model in real time to reflect input from the user interface. A display displays the decision model to the user.
    • 提供了系统和方法,用于根据多个决策因素评估多个行动过程。 系统存储器包含包括多个全局影响值和多个动作行为的决策模型。 每个行动过程具有对应于多个决策因素的相关联的一组决策参数。 输入装置可操作以接收来自用户的输入以调整全局影响值的值。 计算引擎基于针对行动过程的决策参数集合和全局影响值来计算每个行动过程的适应度参数。 计算引擎可以实时更新决策模型,以反映用户界面的输入。 显示器向用户显示决策模型。
    • 4. 发明授权
    • Use of web usage trail data to identify relationships between browsable items
    • 使用Web使用跟踪数据来识别可浏览项目之间的关系
    • US07159023B2
    • 2007-01-02
    • US10737168
    • 2003-12-16
    • Patrick Tufts
    • Patrick Tufts
    • G06F15/173
    • H04L29/06H04L67/20H04L69/329
    • Related web locations are identified from the web usage trails of a population of users. Each usage trail is preferably in the general form of a sequence of URLs accessed by a user during a browsing session. The usage trails are preferably collected using a special client application that operates in conjunction with a web browser and reports the navigation activities of users. In a preferred embodiment, the relatedness of two web locations A and B is determined using a minimum sensitivity calculation that takes into consideration the number of transitions that occurred between A and B relative to the total number of transitions that involved A and/or B. The method may be used independently, or may be used in combination with other methods for identifying related web locations.
    • 从用户群体的网络使用路径中识别相关网站。 每个使用路径优选地是在浏览会话期间由用户访问的URL序列的一般形式。 优选地使用与web浏览器结合操作并报告用户的导航活动的特殊客户端应用来收集使用路径。 在一个优选实施例中,使用最小灵敏度计算来确定两个网页位置A和B的相关性,该最小灵敏度计算考虑了相对于涉及A和/或B的转移总数,A和B之间发生的转换次数。 该方法可以独立使用,或者可以与用于识别相关网址的其他方法组合使用。
    • 5. 发明授权
    • Use of web usage trail data to identify related links
    • 使用Web使用跟踪数据来标识相关链接
    • US06691163B1
    • 2004-02-10
    • US09470844
    • 1999-12-23
    • Patrick Tufts
    • Patrick Tufts
    • G06F15173
    • H04L29/06H04L67/20H04L69/329
    • Related links for web sites or web pages are determined from the web usage trails of a population of users. Each usage trail is preferably in the general form of a sequence of URLs accessed by a user during a browsing session. The usage trails are preferably collected using a special client application that operates in conjunction with a web browser and reports the navigation activities of users. In a preferred embodiment, the relatedness of two web sites or pages A and B is determined using a minimum sensitivity calculation that takes into consideration the number of transitions that occurred between A and B relative to the total number of transitions that involved A and/or B. More specifically, the minimum sensitivity between A and B for a set of usage trail data is preferably determined by dividing the number of transitions between A and B by the greater of (i) the total number of transitions between A and all web sites and (ii) the total number of transitions between B and all web sites. The method may be used independently, or may be used in combination with other methods for identifying related links.
    • 网站或网页的相关链接由用户群体的网络使用路径决定。 每个使用路径优选地是在浏览会话期间由用户访问的URL序列的一般形式。 优选地使用与web浏览器结合操作并报告用户的导航活动的特殊客户端应用来收集使用路径。 在优选实施例中,使用最小灵敏度计算来确定两个网站或页面A和B的相关性,该最小灵敏度计算考虑了相对于涉及A和/或B的转移总数的在A和B之间发生的转换次数 B.更具体地,对于一组使用路径数据,A和B之间的最小灵敏度优选地通过将A和B之间的转换次数除以(i)A和所有网站之间的转换总数 和(ii)B与所有网站之间的转换总数。 该方法可以独立使用,或者可以与用于识别相关链接的其他方法组合使用。