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1. 发明授权

US08185608B1 Continuous usability trial for a website 有权
标题翻译：连续可用性试用一个网站
公开(公告)号：US08185608B1
公开(公告)日：2012-05-22
申请号：US11291507
申请日：2005-12-01
申请人： Jeremy York , Ron Kohavi
发明人： Jeremy York , Ron Kohavi
IPC分类号： G06F15/16 , G06F15/173
CPC分类号： G06Q30/02
摘要： A continuous website trial allows ongoing observation of user interactions with website for an indefinite period of time that is not ascertainable at initiation of the trial. Users are randomly assigned to either a control group or one or more test groups. The control and test groups are served different sets of web pages, even though they access the same website. During the trial, the web pages for the control group are held constant over time, while the web pages for the test group(s) undergo multiple modifications at separate occasions over time. As the web pages for the test group(s) are modified, statistical data collection continues to learn how user behavior changes as a result of the modifications. The statistical data obtained from the users of the various groups may be compared and contrasted and used to gain a better understanding of customer experience with the website.
摘要翻译：连续的网站审核允许持续观察用户与网站的互动，无限期地在审讯开始时无法确定。用户被随机分配给控制组或一个或多个测试组。即使访问同一个网站，控制和测试组也提供不同的网页。在试用期间，控制组的网页随着时间的推移不断变化，而测试组的网页会随着时间的推移在不同的场合进行多次修改。随着测试组的网页被修改，统计数据收集将继续了解用户行为如何由于修改而改变。可以比较和对比从各组用户获得的统计数据，并用来更好地了解网站的客户体验。

2. 发明申请

US20060167757A1 Method and system for automated comparison of items 有权
标题翻译：项目自动比较的方法和系统
公开(公告)号：US20060167757A1
公开(公告)日：2006-07-27
申请号：US11041522
申请日：2005-01-21
申请人： Jeffrey Holden , Lawrence Tesler , Ron Kohavi
发明人： Jeffrey Holden , Lawrence Tesler , Ron Kohavi
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0603 , G06Q30/06 , G06Q30/0601 , G06Q30/0629 , G06Q30/0643
摘要： An automated method and system for providing an item comparison includes identifying a first item and a set of one or more other items for comparison with the first item, prioritizing attributes of the first item and the other items, and providing the item comparison with prioritized attributes to a user. Identifying comparable items may involve a multiple step process in which a candidate set of items is first selected for possible comparison with the first item, and thereafter selecting one or more items from the candidate set for comparison. Prioritizing the attributes of the items may include measuring like attributes of the items against each other and arranging the attributes to appear in an order according to the degree the like attributes distinguish the items from each other. A modified item comparison may be prepared and provided in accordance with user feedback.
摘要翻译：用于提供项目比较的自动化方法和系统包括识别用于与第一项目进行比较的一个或多个其他项目的第一项目和一组，对第一项目和其他项目的属性进行优先级排序，以及将优先级属性提供项目比较给用户识别可比较项目可以涉及多个步骤过程，其中首先选择候选项目集合用于与第一项目可能的比较，然后从候选集合中选择一个或多个项目用于比较。确定项目的属性的优先级可以包括相互测量物品的相似属性，并根据相似属性将物品彼此区分的程度按照顺序排列属性。可以根据用户反馈准备并提供修改的项目比较。

3. 发明授权

US5930803A Method, system, and computer program product for visualizing an evidence classifier 失效
标题翻译：用于可视化证据分类器的方法，系统和计算机程序产品
公开(公告)号：US5930803A
公开(公告)日：1999-07-27
申请号：US841341
申请日：1997-04-30
申请人： Barry G. Becker , Ron Kohavi , Daniel A. Sommerfield , Joel D. Tesler
发明人： Barry G. Becker , Ron Kohavi , Daniel A. Sommerfield , Joel D. Tesler
IPC分类号： G06F17/30
CPC分类号： G06F17/30716 , Y10S707/99945 , Y10S707/99948
摘要： A method, system, and computer program product visualizes the structure of an evidence classifier. An evidence inducer generates an evidence classifier based on a training set of labeled records. A mapping module generates visualization data files. An evidence visualization tool uses the visualization data files to display an evidence pane and/or a label probability pane. A first evidence pane display view shows a normalized conditional probability of each label value, for each attribute value. The first evidence pane display view can be a plurality of rows of pie charts. Each pie slice in a pie chart has a size which is a function of the normalized conditional probability of each label value for the respective attribute value. A second evidence pane display view shows relative conditional probabilities of a selected label value, for each attribute value. The second evidence pane display view can be a plurality of rows of bars. Bar height is a function of a conditional probability of a respective attribute value conditioned on the selected label value. A first label probability pane display view shows a pie chart of prior probabilities of each label value based on the training set. A second label probability pane display view shows a pie chart of posterior probabilities of each label value based on at least one selected attribute value. An importance slider controls filtering of attributes based on the importance of the attributes to a classification of unlabeled records. A count slider filters out attribute values having relatively low record counts. The evidence classifier visualization tool further provides sorting of attributes and/or attribute values. A subtracting minimum evidence capability is provided.
摘要翻译：方法，系统和计算机程序产品可视化证据分类器的结构。证据诱导者基于标记记录的训练集生成证据分类器。映射模块生成可视化数据文件。证据可视化工具使用可视化数据文件来显示证据窗格和/或标签概率窗格。第一个证据窗格显示视图显示每个属性值的每个标签值的归一化条件概率。第一个证据窗格显示视图可以是多行饼图。饼图中的每个饼图切片具有相应属性值的每个标签值的归一化条件概率的函数的大小。第二个证据窗格显示视图显示了每个属性值的所选标签值的相对条件概率。第二证据窗格显示视图可以是多行条。条高是根据所选标签值调整的相应属性值的条件概率的函数。第一标签概率窗格显示视图显示基于训练集的每个标签值的先验概率的饼图。第二标签概率窗格显示视图基于至少一个所选择的属性值显示每个标签值的后验概率的饼图。重要性滑块根据属性对未标记记录分类的重要性来控制对属性的过滤。计数滑块过滤掉具有相对较低记录计数的属性值。证据分类器可视化工具进一步提供属性和/或属性值的排序。提供减法最小证据能力。

4. 发明授权

US08412557B1 Method and system for determining whether an offering is controversial based on user feedback 有权
标题翻译：基于用户反馈来确定产品是否具有争议的方法和系统
公开(公告)号：US08412557B1
公开(公告)日：2013-04-02
申请号：US11155310
申请日：2005-06-17
申请人： Daniel B. Lloyd , Llewellyn J. Mason , Ron Kohavi
发明人： Daniel B. Lloyd , Llewellyn J. Mason , Ron Kohavi
IPC分类号： G06F9/44
CPC分类号： G06Q30/0242 , G06Q30/0623 , G06Q30/0631
摘要： The controversiality of an offering in a computer implemented system is computed based on user satisfaction feedback. A controversiality index can be provided to indicate the extent to which the offering is controversial.
摘要翻译：基于用户满意度反馈计算了计算机实现系统中的产品的有争议性。可以提供一个有争议的指数来表明提供的争议范围。

5. 发明申请

US20100082998A1 ACTIVE HIP 有权
标题翻译：活动HIP
公开(公告)号：US20100082998A1
公开(公告)日：2010-04-01
申请号：US12241250
申请日：2008-09-30
申请人： Ron Kohavi
发明人： Ron Kohavi
IPC分类号： H04L9/32
CPC分类号： H04L9/3271 , G06F21/36 , G06F2221/2103
摘要： Computing services that unwanted entities may wish to access for improper, and potentially illegal, use can be more effectively protected by using Active HIP systems and methodologies. An Active HIP involves dynamically swapping one random HIP challenge, e.g., but not limited to, image, for a second random HIP challenge, e.g., but not limited to, image. An Active HIP can also, or otherwise, involve stitching together, or otherwise collecting and including, within Active HIP software, i.e., a HIP web page, to be executed by a computing device of a user seeking access to a HIP-protected computing service x number of software executables randomly selected from a pool of y number of software executables. The x number of software executables, when run, generates a random Active HIP key. If the generated Active HIP key accompanies a correct user response to the valid HIP challenge the system and/or methodology can assume with a degree of certainty that the current user is a legitimate human user and allow the current user access to the requested computing service.
摘要翻译：通过使用Active HIP系统和方法，可以更有效地保护不想要的实体可能希望访问不正确和可能非法使用的计算服务。活动HIP涉及对于第二随机HIP挑战（例如但不限于图像）动态地交换一个随机HIP挑战，例如但不限于图像。活动HIP还可以或以其他方式涉及在活动HIP软件（即，HIP网页）内拼接在一起或以其他方式收集和包括，以由要求访问受HIP保护的计算服务的用户的计算设备执行的HIP网页 x从y个软件可执行文件池中随机选择的软件可执行程序数量。软件可执行文件的x数量在运行时生成随机的活动HIP密钥。如果生成的Active HIP密钥伴随正确的用户对有效的HIP质询的响应，则系统和/或方法可以确定地假设当前用户是合法的人类用户并允许当前用户访问所请求的计算服务。

6. 发明授权

US06182058B2 Bayes rule based and decision tree hybrid classifier 失效
标题翻译：基于贝叶斯规则和决策树混合分类器
公开(公告)号：US06182058B2
公开(公告)日：2001-01-30
申请号：US08810217
申请日：1997-02-28
申请人： Ron Kohavi
发明人： Ron Kohavi
IPC分类号： G06F1700
CPC分类号： G06K9/6282
摘要： The present invention provides a hybrid classifier, called the NB-Tree classifier, for classifying a set of records. According to the present invention, the NB-Tree classifier includes a Decision-Tree structure having zero or more decision-nodes and one or more leaf-nodes. At each decision-node, a test is performed based on one or more attributes. At each leaf-node, a classifier based on Bayes Rule classifies the records. Furthermore, the present invention provides a method for inducing the NB-Tree classifier from a set of labeled instances. To induce the NB-Tree classifier, a utility C1 of a Bayes classifier at a root-node is first estimated. Next, a utility D1 of a split into a plurality of child-nodes with a Bayes classifier at the child-nodes is estimated. The utility of a split is the weighted sum of the utility of the child-nodes, where the weight given to a child-node is proportional to the number of instances that go down that child-node. Next, it is determined if C1 is higher than D1. If C1 is higher than D1, the root-node is transformed into a leaf-node with a Bayes classifier. If C1 is not higher than D1, the root-node is transformed into a decision-node, and the instances are partitioned into a plurality of child-nodes. The method then recursively performs the previous steps for each child-node as if it is a root-node. The present invention approximates whether a generalization accuracy for a Naive-Bayes classifier at each leaf-node is higher than a single Naive-Bayes classifier at the decision-node. According to one embodiment of the present invention, to avoid splits with little value, a split is defined to be significant if the relative (not absolute) reduction in error is greater than 5% and there are at least 30 instances in the node.
摘要翻译：本发明提供了一种称为NB-Tree分类器的混合分类器，用于对一组记录进行分类。根据本发明，NB-Tree分类器包括具有零个或更多个决策节点和一个或多个叶节点的决策树结构。在每个决策节点，基于一个或多个属性执行测试。在每个叶节点，基于贝叶斯规则的分类器对记录进行分类。此外，本发明提供了一种用于从一组标记实例中诱导NB-Tree分类器的方法。为了诱导NB-Tree分类器，首先估计根节点处Bayes分类器的实用程序C1。接下来，估计在子节点处分割成具有贝叶斯分类器的多个子节点的实用程序D1。分裂的效用是子节点的效用的加权和，其中给予子节点的权重与到该子节点的实例数成比例。接下来，确定C1是否高于D1。如果C1高于D1，则使用Bayes分类器将根节点转换为叶节点。如果C1不高于D1，则根节点被转换为决策节点，并且实例被分割成多个子节点。该方法然后递归地对每个子节点执行以前的步骤，就像它是根节点一样。本发明近似于在每个叶节点处的朴素贝叶斯分类器的概括精度是否高于在决策节点处的单个朴素贝叶斯分类器。根据本发明的一个实施例，为了避免少量的分割，如果错误的相对（非绝对）减少大于5％并且节点中至少有30个实例，则将分割定义为有意义。

7. 发明授权

US6026399A System and method for selection of important attributes 失效
标题翻译：用于选择重要属性的系统和方法
公开(公告)号：US6026399A
公开(公告)日：2000-02-15
申请号：US866314
申请日：1997-05-30
申请人： Ron Kohavi , Daniel A. Sommerfield
发明人： Ron Kohavi , Daniel A. Sommerfield
IPC分类号： G06F17/30
CPC分类号： G06F17/30539 , G06F17/3061 , G06K9/6231 , Y10S707/99932 , Y10S707/99933 , Y10S707/99935 , Y10S707/99936 , Y10S707/99937
摘要： A system and method determines how well various attributes in a record discriminate different values of a chosen label attribute. An attribute is considered a relevant attribute if it discriminates different values of a chosen label attribute either alone or in conjunction with other attributes. According to the present invention, a label attribute is selected by a user from a set of records, with each record having a plurality of attributes. Next, one or more first important attributes considered important by the user are selected. The present invention then generates one or more second important attributes. The second important attributes together with the user chosen first important attributes discriminate well between different values of the label attribute. A measure called "purity" (a number from 0 to 100) informs how well each attribute discriminates the different label attributes. The purity measure allows the attributes to be ranked based on their importance.
摘要翻译：系统和方法确定记录中的各种属性如何区分所选标签属性的不同值。如果将属性单独或与其他属性一起区分所选标签属性的不同值，则将其视为相关属性。根据本发明，用户从一组记录中选择标签属性，每个记录具有多个属性。接下来，选择被用户认为重要的一个或多个第一重要属性。然后，本发明产生一个或多个第二重要属性。第二个重要属性与用户选择的第一重要属性在标签属性的不同值之间进行了良好的区分。称为“纯度”（从0到100的数字）的度量通知每个属性识别不同标签属性的程度。纯度测量允许属性根据其重要性进行排名。

8. 发明申请

US20130282683A1 CHANGING RESULTS AFTER BACK BUTTON USE OR DUPLICATE REQUEST 有权
标题翻译：后退按钮使用或重复请求后更改结果
公开(公告)号：US20130282683A1
公开(公告)日：2013-10-24
申请号：US13451884
申请日：2012-04-20
申请人： Ron Kohavi , Ya Xu , Noor-E-Gagan Singh
发明人： Ron Kohavi , Ya Xu , Noor-E-Gagan Singh
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30873
摘要： Enhancements of the user experience are provided when a user returns to a previously viewed page, such as a previously viewed page of search results. When a user returns to a previously viewed page, additional context information from a user's actions since the initial view of a page can be used to modify the previously viewed page and/or obtain a new version of the previously viewed page. In situations where the previously viewed page corresponds to a page of responsive results from a search engine, the modified and/or new version of the search engine results page can include an expanded or reduced group of results, different types of results, different rankings for existing results, or a combination thereof.
摘要翻译：当用户返回到先前查看的页面（例如先前查看的搜索结果页面）时，提供用户体验的增强。当用户返回到先前查看的页面时，可以使用来自页面的初始视图的来自用户动作的附加上下文信息来修改先前查看的页面和/或获得先前查看的页面的新版本。在先前查看的页面对应于来自搜索引擎的响应结果的页面的情况下，搜索引擎结果页面的修改和/或新版本可以包括扩展或缩减的结果组，不同类型的结果，不同的排名现有结果或其组合。

9. 发明授权

US08543584B2 Detection of behavior-based associations between search strings and items 有权
标题翻译：检测搜索字符串和项目之间基于行为的关联
公开(公告)号：US08543584B2
公开(公告)日：2013-09-24
申请号：US13367134
申请日：2012-02-06
申请人： Eric R. Vadon , Ronald M. Whitman , Ron Kohavi , Gautam K. Jayaraman , Benjamin W. S. Redman
发明人： Eric R. Vadon , Ronald M. Whitman , Ron Kohavi , Gautam K. Jayaraman , Benjamin W. S. Redman
IPC分类号： G06F17/30
CPC分类号： G06F17/30702 , G06F17/30867
摘要： A system and method are disclosed for automatically detecting associations between particular sets of search criteria, such as particular search strings, and particular items. Actions of users of an interactive system, such as a web site, are monitored over time to generate event histories reflective of searches, item selection actions, and possibly other types of user actions. An analysis component collectively analyzes the event histories to automatically identify and quantify associations between specific search strings (or other types of search criteria) and specific items.
摘要翻译：公开了一种系统和方法，用于自动检测特定搜索条件集合之间的关联，例如特定搜索字符串和特定项目。随着时间的推移，监视诸如网站的交互式系统的用户的动作以生成反映搜索，项目选择动作以及可能的其他类型的用户动作的事件历史。分析组件共同分析事件历史，以自动识别和量化特定搜索字符串（或其他类型的搜索条件）和特定项目之间的关联。

10. 发明申请

US20120143840A1 DETECTION OF BEHAVIOR-BASED ASSOCIATIONS BETWEEN SEARCH STRINGS AND ITEMS 有权
标题翻译：检索搜索条和项目之间基于行为的协会
公开(公告)号：US20120143840A1
公开(公告)日：2012-06-07
申请号：US13367134
申请日：2012-02-06
申请人： Eric R. Vadon , Ronald M. Whitman , Ron Kohavi , Gautam K. Jayaraman , Benjamin W.S. Redman
发明人： Eric R. Vadon , Ronald M. Whitman , Ron Kohavi , Gautam K. Jayaraman , Benjamin W.S. Redman
IPC分类号： G06F17/30
CPC分类号： G06F17/30702 , G06F17/30867
摘要： A system and method are disclosed for automatically detecting associations between particular sets of search criteria, such as particular search strings, and particular items. Actions of users of an interactive system, such as a web site, are monitored over time to generate event histories reflective of searches, item selection actions, and possibly other types of user actions. An analysis component collectively analyzes the event histories to automatically identify and quantify associations between specific search strings (or other types of search criteria) and specific items.
摘要翻译：公开了一种系统和方法，用于自动检测特定搜索条件集合之间的关联，例如特定搜索字符串和特定项目。随着时间的推移，监视诸如网站的交互式系统的用户的动作以生成反映搜索，项目选择动作以及可能的其他类型的用户动作的事件历史。分析组件共同分析事件历史，以自动识别和量化特定搜索字符串（或其他类型的搜索条件）和特定项目之间的关联。

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