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1. 发明授权

US08955044B2 Time managed challenge-response test 有权
标题翻译：时间管理挑战 - 响应测试
公开(公告)号：US08955044B2
公开(公告)日：2015-02-10
申请号：US12897615
申请日：2010-10-04
申请人： Kunal Punera , Shanmugasundaram Ravikumar , Anirban Dasgupta , Belle Tseng , Hung-Kuo (James) Chu
发明人： Kunal Punera , Shanmugasundaram Ravikumar , Anirban Dasgupta , Belle Tseng , Hung-Kuo (James) Chu
IPC分类号： G06F21/00 , H04L9/32
CPC分类号： H04L9/3271
摘要： A method of generating a time managed challenge-response test is presented. The method identifies a geometric shape having a volume and generates an entry object of the time managed challenge-response test. The entry object is overlaid onto the geometric shape, such that the entry object is distributed over a surface of the geometric shape, and a portion of the entry object is hidden at any point in time. The geometric shape is rotated, which reveals the portion of the entry object that is hidden. A display region on a display is identified for rendering the geometric shape and the geometric shape is presented in the display region of the display.
摘要翻译：提出了一种生成时间管理的挑战 - 响应测试的方法。该方法识别具有卷的几何形状并生成时间管理的挑战 - 响应测试的条目对象。入口对象覆盖在几何形状上，使得入口对象分布在几何形状的表面上，并且入口对象的一部分在任何时间点被隐藏。几何形状被旋转，这显示了隐藏的条目对象的部分。识别显示器上的显示区域以呈现几何形状，并且在显示器的显示区域中呈现几何形状。

2. 发明申请

US20120084832A1 Time Managed Challenge-Response Test 有权
标题翻译：时间管理挑战 - 响应测试
公开(公告)号：US20120084832A1
公开(公告)日：2012-04-05
申请号：US12897615
申请日：2010-10-04
申请人： Kunal Punera , Shanmugasundaram Ravikumar , Anirban Dasgupta , Belle Tseng , Hung-Kuo (James) Chu
发明人： Kunal Punera , Shanmugasundaram Ravikumar , Anirban Dasgupta , Belle Tseng , Hung-Kuo (James) Chu
IPC分类号： H04L9/32 , G06T15/00 , G06F3/048
CPC分类号： H04L9/3271
摘要： A method of generating a time managed challenge-response test is presented. The method identifies a geometric shape having a volume and generates an entry object of the time managed challenge-response test. The entry object is overlaid onto the geometric shape, such that the entry object is distributed over a surface of the geometric shape, and a portion of the entry object is hidden at any point in time. The geometric shape is rotated, which reveals the portion of the entry object that is hidden. A display region on a display is identified for rendering the geometric shape and the geometric shape is presented in the display region of the display.
摘要翻译：提出了一种生成时间管理的挑战 - 响应测试的方法。该方法识别具有卷的几何形状并生成时间管理的挑战 - 响应测试的条目对象。入口对象覆盖在几何形状上，使得入口对象分布在几何形状的表面上，并且入口对象的一部分在任何时间点被隐藏。几何形状被旋转，这显示了隐藏的条目对象的部分。识别显示器上的显示区域以呈现几何形状，并且在显示器的显示区域中呈现几何形状。

3. 发明授权

US09519682B1 User trustworthiness 有权
标题翻译：用户可信赖性
公开(公告)号：US09519682B1
公开(公告)日：2016-12-13
申请号：US13117037
申请日：2011-05-26
申请人： Jay Pujara , Vishwanath Tumkur Ramarao , Xiaopeng Xi , Martin Zinkevich , Anirban Dasgupta , Belle Tseng , Wei Chu , Jyh-Shin Gareth Shue
发明人： Jay Pujara , Vishwanath Tumkur Ramarao , Xiaopeng Xi , Martin Zinkevich , Anirban Dasgupta , Belle Tseng , Wei Chu , Jyh-Shin Gareth Shue
IPC分类号： G06F11/00 , G06F17/30 , G06Q10/10 , H04H20/28 , H04H60/82 , G06F12/14
CPC分类号： G06F17/3053 , G06Q10/10 , H04H20/28 , H04H60/82
摘要： Embodiments are directed towards generating a unified user account trustworthiness system through user account trustworthiness scores. A trusted group of user accounts may be identified for a given action by grouping a plurality of user accounts into tiers based on a trustworthiness score of each user account for the given action. The tiers and/or trustworthiness scores may be employed to classify an item, such as a message as spam or non-spam, based on input from the user accounts. The trustworthiness scores may also be employed to determine if a user account is a robot account or a human account. The trusted group for a given action may dynamically evolve over time by regrouping the user accounts based on modified trustworthiness scores. A trustworthiness score of an individual user account may be modified based on input received from the individual user account and input from other user accounts.
摘要翻译：实施例旨在通过用户帐户可信度得分来生成统一的用户帐户可信赖性系统。可以基于针对给定动作的每个用户帐户的可信度分数将多个用户帐户分组成层，可以为给定动作识别可信赖的用户帐户组。层级和/或可信赖性分数可以用于基于来自用户帐户的输入来将项目（诸如作为垃圾邮件或非垃圾邮件）的消息分类。还可以使用可信度分数来确定用户帐户是机器人帐户还是人类账户。给定动作的受信任组可以通过基于修改的可信度得分重新分组用户账户而随着时间的推移而动态演变。可以基于从单个用户帐户接收的输入和来自其他用户帐户的输入来修改个人用户帐户的可信度分数。

4. 发明申请

US20120166379A1 CLUSTERING COOKIES FOR IDENTIFYING UNIQUE MOBILE DEVICES 有权
标题翻译：用于识别移动设备的聚集式咖啡
公开(公告)号：US20120166379A1
公开(公告)日：2012-06-28
申请号：US12978186
申请日：2010-12-23
申请人： Anirban Dasgupta , Liang Zhang , Maxim Gurevich , Achint Oommen Thomas , Belle Tseng
发明人： Anirban Dasgupta , Liang Zhang , Maxim Gurevich , Achint Oommen Thomas , Belle Tseng
IPC分类号： G06N5/02
CPC分类号： G06N99/005 , G06N7/005
摘要： Embodiments are directed towards clustering cookies for identifying unique mobile devices for associating activities over a network with a given mobile device. The cookies are clustered based on a Bayes Factor similarity model that is trained from cookie features of known mobile devices. The clusters may be used to determine the number of unique mobile devices that access a website. The clusters may also be used to provide targeted content to each unique mobile device.
摘要翻译：实施例针对用于识别用于将网络上的活动与给定移动设备相关联的唯一移动设备的聚类cookie。基于由已知移动设备的cookie特征训练的贝叶斯因子相似性模型，cookie是聚类的。群集可用于确定访问网站的唯一移动设备的数量。集群也可以用于向每个唯一移动设备提供有针对性的内容。

5. 发明申请

US20100325129A1 DETERMINING THE GEOGRAPHIC SCOPE OF WEB RESOURCES USING USER CLICK DATA 审中-公开
标题翻译：使用用户点击数据确定网页资源的地理范围
公开(公告)号：US20100325129A1
公开(公告)日：2010-12-23
申请号：US12488134
申请日：2009-06-19
申请人： Rajat Ahuja , Shanmugasundaram Ravikumar , Tamas Sarlos , Dungjit Shiowattana , Ching--Fong Su , Belle Tseng , Srinivas Vadrevu
发明人： Rajat Ahuja , Shanmugasundaram Ravikumar , Tamas Sarlos , Dungjit Shiowattana , Ching--Fong Su , Belle Tseng , Srinivas Vadrevu
IPC分类号： G06F17/30
CPC分类号： G06F16/9535 , G06F16/9537
摘要： A geographic region is automatically determined for an Internet resource based on information that has been gathered over time through the automatic monitoring of certain “click” activities of Internet search engine-using users. Over time, the search engine collects information for each click. Using this click-related data, the search engine estimates the geographic region with which the resource ought to be associated. The fact that a significant proportion of clicks on a resource's hyperlink are clicks that “came through” a search engine portal that is associated with a geographic region tends to suggest that the resource ought to be associated with that geographic region. Similarly, the fact that a significant proportion of clicks on a resource's hyperlink are clicks that were made by users whose computers have IP addresses that are associated with a geographic region tends to suggest that the resource ought to be associated with that geographic region.
摘要翻译：基于使用互联网搜索引擎的用户的某些“点击”活动的自动监视，基于随时间而收集的信息，自动确定地理区域。随着时间的推移，搜索引擎会收集每次点击的信息。使用该点击相关数据，搜索引擎估计资源应与之关联的地理区域。事实上，资源超链接的大量点击是通过与地理区域相关联的搜索引擎门户“点击”的点击倾向于表明资源应该与该地理区域相关联。类似地，资源超链接的大部分点击是由计算机具有与地理区域相关联的IP地址的用户进行的点击的事实倾向于表明该资源应该与该地理区域相关联。

6. 发明授权

US08396822B2 Clustering cookies for identifying unique mobile devices 有权
公开(公告)号：US08396822B2
公开(公告)日：2013-03-12
申请号：US12978186
申请日：2010-12-23
申请人： Anirban Dasgupta , Liang Zhang , Maxim Gurevich , Achint Oommen Thomas , Belle Tseng
发明人： Anirban Dasgupta , Liang Zhang , Maxim Gurevich , Achint Oommen Thomas , Belle Tseng
IPC分类号： G06N5/02
CPC分类号： G06N99/005 , G06N7/005
摘要： Embodiments are directed towards clustering cookies for identifying unique mobile devices for associating activities over a network with a given mobile device. The cookies are clustered based on a Bayes Factor similarity model that is trained from cookie features of known mobile devices. The clusters may be used to determine the number of unique mobile devices that access a website. The clusters may also be used to provide targeted content to each unique mobile device.

7. 发明申请

US20130148880A1 Image Cropping Using Supervised Learning 有权
标题翻译：使用监督学习的图像裁剪
公开(公告)号：US20130148880A1
公开(公告)日：2013-06-13
申请号：US13315066
申请日：2011-12-08
申请人： Lyndon Kennedy , Roelof van Zwol , Nicolas Torzec , Belle Tseng
发明人： Lyndon Kennedy , Roelof van Zwol , Nicolas Torzec , Belle Tseng
IPC分类号： G06K9/62
CPC分类号： G06K9/00711 , G06K9/00228 , G06K9/46 , G06K9/4671 , G06K9/52 , G06K9/62 , G06K9/6201 , G06K2009/4666 , G06T3/40 , G06T11/60
摘要： Software for supervised learning extracts a set of pixel-level features from each source image in collection of source images. Each of the source images is associated with a thumbnail created by an editor. The software also generates a collection of unique bounding boxes for each source image. And the software calculates a set of region-level features for each bounding box. Each region-level feature results from the aggregation of pixel values for one of the pixel-level features. The software learns a regression model, using the calculated region-level features and the thumbnail associated with the source image. Then the software chooses a thumbnail from a collection of unique bounding boxes in a new image, based on application of the regression model.
摘要翻译：用于监督学习的软件在收集源图像时从每个源图像中提取一组像素级特征。每个源图像与由编辑器创建的缩略图相关联。该软件还为每个源图像生成一组独特的边界框。并且软件为每个边界框计算一组区域级别的功能。每个区域级别的特征来自于像素级特征之一的像素值的聚合。该软件学习回归模型，使用计算的区域级功能和与源图像相关联的缩略图。然后，软件根据回归模型的应用，从新图像中的独特边界框的集合中选择一个缩略图。

8. 发明申请

US20130097005A1 ONLINE TECHNIQUES FOR SELLING GROUP COMBO COUPONS 审中-公开
标题翻译：在线技术销售集团组合
公开(公告)号：US20130097005A1
公开(公告)日：2013-04-18
申请号：US13271935
申请日：2011-10-12
申请人： Jie Yang , Liang Zhang , Belle Tseng
发明人： Jie Yang , Liang Zhang , Belle Tseng
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0207 , G06Q30/0605
摘要： Techniques for providing group discounts are described. A group discount package is configured by associating a plurality of different items with the package, associating a discount price with each item, and associating a threshold value with at least one item. One or more actions that have corresponding threshold values may also be associated with the package. The group discount package may be offered by enabling users to request to purchase items associated with the package. Each user may request to purchase one or more of the items associated with the package at the associated discount price. Furthermore, the users may be enabled to perform any actions associated with the package. A deal with the package is confirmed when each associated threshold value is met.
摘要翻译：描述了提供组折扣的技术。组合折扣包通过将多个不同的项目与包裹相关联，将折扣价格与每个项目相关联，以及将阈值与至少一个项目相关联来配置。具有相应阈值的一个或多个动作也可以与包相关联。可以通过使用户能够请求购买与包相关的商品来提供组折扣包。每个用户可以请求以相关联的折扣价格购买与包裹相关联的一个或多个物品。此外，可以使用户能够执行与包相关联的任何动作。当满足每个相关联的阈值时，确认包裹的处理。

9. 发明授权

US08938116B2 Image cropping using supervised learning 有权
标题翻译：使用监督学习的图像裁剪
公开(公告)号：US08938116B2
公开(公告)日：2015-01-20
申请号：US13315066
申请日：2011-12-08
申请人： Lyndon Kennedy , Roelof van Zwol , Nicolas Torzec , Belle Tseng
发明人： Lyndon Kennedy , Roelof van Zwol , Nicolas Torzec , Belle Tseng
IPC分类号： G06K9/62
CPC分类号： G06K9/00711 , G06K9/00228 , G06K9/46 , G06K9/4671 , G06K9/52 , G06K9/62 , G06K9/6201 , G06K2009/4666 , G06T3/40 , G06T11/60
摘要： Software for supervised learning extracts a set of pixel-level features from each source image in collection of source images. Each of the source images is associated with a thumbnail created by an editor. The software also generates a collection of unique bounding boxes for each source image. And the software calculates a set of region-level features for each bounding box. Each region-level feature results from the aggregation of pixel values for one of the pixel-level features. The software learns a regression model, using the calculated region-level features and the thumbnail associated with the source image. Then the software chooses a thumbnail from a collection of unique bounding boxes in a new image, based on application of the regression model.
摘要翻译：用于监督学习的软件在收集源图像时从每个源图像中提取一组像素级特征。每个源图像与由编辑器创建的缩略图相关联。该软件还为每个源图像生成一组独特的边界框。并且软件为每个边界框计算一组区域级别的功能。每个区域级别的特征来自于像素级特征之一的像素值的聚合。该软件学习回归模型，使用计算的区域级功能和与源图像相关联的缩略图。然后，软件根据回归模型的应用，从新图像中的独特边界框的集合中选择一个缩略图。

10. 发明授权

US08832101B2 Automated user behavior feedback system for whole page search success optimization 有权
标题翻译：自动用户行为反馈系统，用于整页搜索成功优化
公开(公告)号：US08832101B2
公开(公告)日：2014-09-09
申请号：US12708499
申请日：2010-02-18
申请人： David Ciemiewicz , Ya Zhang , Belle Tseng , Jean-Marc Langlois
发明人： David Ciemiewicz , Ya Zhang , Belle Tseng , Jean-Marc Langlois
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： Various users' navigational behaviors relative to search results presented by a search engine are monitored. URLs that are visited and revised queries that are submitted after the submission of an original query are placed within a trail that begins with the original query. These trails are grouped based on the original queries with which they begin. For each trail group, a set of URLs that frequently occur in that group's trails, and a set of revised queries that frequently occur in that group's trails, are determined. These frequently occurring elements are mapped to the original queries with which all the trails in the corresponding trail group begin. In response to subsequent submissions of the same original query, the search engine ensures that URLs and revised queries that are mapped to the original query are prominently displayed on the search results pages that are initially returned in response to those submissions.
摘要翻译：监视与搜索引擎提供的搜索结果相关的各种用户的导航行为。在提交原始查询后提交的访问和修改的查询的URL将放置在以原始查询开头的跟踪中。这些路径根据他们开始的原始查询进行分组。对于每个跟踪组，都会确定频繁发生在该组路径中的一组URL，以及经常发生在该组路径中的一组经过修改的查询。这些经常出现的元素被映射到相应跟踪组中的所有路径开始的原始查询。响应于相同原始查询的后续提交，搜索引擎确保映射到原始查询的URL和修改的查询显着地显示在最初返回以响应这些提交的搜索结果页面上。

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