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1. 发明申请

US20090285378A1 SYSTEM AND METHOD FOR OBFUSCATING CONTACT NUMBERS 审中-公开
标题翻译：用于形成联系人数的系统和方法
公开(公告)号：US20090285378A1
公开(公告)日：2009-11-19
申请号：US12121445
申请日：2008-05-15
申请人： Krishna Leela Poola , Kalyan Kumar Kanuri
发明人： Krishna Leela Poola , Kalyan Kumar Kanuri
IPC分类号： H04M3/42 , H04Q7/20
CPC分类号： H04M3/4931 , G06Q30/02
摘要： A system for managing and tracking contacts between businesses and prospective customers, where the customer typically calls or sends a text message to the business on a mobile telephone. A business registered with the system is assigned a temporary, dynamic contact number (obfuscated number). A customer interacts with the business through the system using the obfuscated number; the customer's number is not revealed to the business. Usage of the obfuscated number is tracked and analyzed to yield marketing information for the business. Expiration of the number may be delayed if the parties continue to maintain contact.
摘要翻译：用于管理和跟踪企业和潜在客户之间的联系的系统，其中客户通常在移动电话上向业务呼叫或发送短信。系统注册的业务被分配一个临时的动态联系人号码（混淆号码）。客户通过系统使用混淆的数字与业务进行交互; 客户的号码不会向业务透露。跟踪和分析混淆数字的使用以产生业务的营销信息。如果双方继续保持联系，则可能会延迟到期。

2. 发明授权

US08391798B2 Apparatus, method, and manufacture for managing scalable and traceable exchanges of content between advertisers and publishers for mobile devices 有权
标题翻译：用于管理用于移动设备的广告商和发布者之间的可扩展和可跟踪的内容交换的装置，方法和制造
公开(公告)号：US08391798B2
公开(公告)日：2013-03-05
申请号：US12211730
申请日：2008-09-16
申请人： Krishna Leela Poola , Kalyan Kumar Kanuri
发明人： Krishna Leela Poola , Kalyan Kumar Kanuri
IPC分类号： H04B1/00
CPC分类号： H04L67/22 , H04W4/12
摘要： A service exchange is provided. The service exchange receives text messages (such as SMS messages), such as search queries sent by a user to the service exchange, or a text message sent from the user to another user. The service exchange determines service providers most relevant to the user, and provides the information related to the most relevant service providers to the user, including, for each relevant service provider provided to the user, a dynamically assigned, obfuscated phone number for contacting the service provider.
摘要翻译：提供服务交换。服务交换机接收诸如用户发送到服务交换机的搜索查询等文本消息（例如SMS消息），或从用户发送给另一用户的文本消息。服务交换机确定与用户最相关的服务提供商，并向用户提供与最相关的服务提供者相关的信息，包括为每个提供给用户的相关服务提供者提供动态分配的，混淆的电话号码，用于联系服务提供者

3. 发明申请

US20100069096A1 APPARATUS, METHOD, AND MANUFACTURE FOR MANAGING SCALABLE AND TRACEABLE EXCHANGES OF CONTENT BETWEEN ADVERTISERS AND PUBLISHERS FOR MOBILE DEVICES 有权
标题翻译：用于管理移动设备的广告商和发布商之间的可扩展和可追溯交换的设备，方法和制造
公开(公告)号：US20100069096A1
公开(公告)日：2010-03-18
申请号：US12211730
申请日：2008-09-16
申请人： Krishna Leela Poola , Kalyan Kumar Kanuri
发明人： Krishna Leela Poola , Kalyan Kumar Kanuri
IPC分类号： H04W4/12
CPC分类号： H04L67/22 , H04W4/12
摘要： A service exchange is provided. The service exchange receives text messages (such as SMS messages), such as search queries sent by a user to the service exchange, or a text message sent from the user to another user. The service exchange determines service providers most relevant to the user, and provides the information related to the most relevant service providers to the user, including, for each relevant service provider provided to the user, a dynamically assigned, obfuscated phone number for contacting the service provider.
摘要翻译：提供服务交换。服务交换机接收诸如用户发送到服务交换机的搜索查询等文本消息（例如SMS消息），或从用户发送给另一用户的文本消息。服务交换机确定与用户最相关的服务提供商，并向用户提供与最相关的服务提供者相关的信息，包括为每个提供给用户的相关服务提供者提供动态分配的，混淆的电话号码，用于联系服务提供者

4. 发明授权

US07680858B2 Techniques for clustering structurally similar web pages 有权
标题翻译：聚类结构相似网页的技术
公开(公告)号：US07680858B2
公开(公告)日：2010-03-16
申请号：US11481734
申请日：2006-07-05
申请人： Krishna Leela Poola , Arun Ramanujapuram
发明人： Krishna Leela Poola , Arun Ramanujapuram
IPC分类号： G06F17/30
CPC分类号： G06F17/3071 , G06F17/30864 , G06K9/6219 , G06K9/6224
摘要： Web page clustering techniques described herein are URL Clustering and Page Clustering, whereby clustering algorithms cluster together pages that are structurally similar. Regarding URL clustering, because similarly structured pages have similar patterns in their URLs, grouping similar URL patterns will group structurally similar pages. Embodiments of URL clustering may involve: (a) URL normalization and (b) URL variation computation. Regarding page clustering, page feature-based techniques further cluster any given set of homogenous clusters, reducing the number of clusters based on the underlying page code. Embodiments of page clustering may reduce the number of clusters based on the tag probabilities and the tag sequence, utilizing an Approximate Nearest Neighborhood (ANN) graph along with evaluation of intra-cluster and inter-cluster compactness.
摘要翻译：本文描述的网页聚类技术是URL聚类和页面聚类，其中聚类算法将结构上类似的页面聚类在一起。关于URL聚类，因为类似结构化的页面在其URL中具有相似的模式，所以对类似的URL模式进行分组会将结构上类似的页面分组。 URL聚类的实施例可以包括：（a）URL归一化和（b）URL变化计算。关于页面聚类，基于页面特征的技术进一步聚集任何给定的同质聚类集合，从而减少基于底层页面代码的聚类数量。基于标签概率和标签序列，页面聚类的实施例可以使用近似最近邻域（ANN）图以及群内和集群内紧密度的评估来减少簇的数量。

5. 发明申请

US20080010292A1 Techniques for clustering structurally similar webpages based on page features 有权
标题翻译：基于页面特征聚类结构相似的网页的技术
公开(公告)号：US20080010292A1
公开(公告)日：2008-01-10
申请号：US11481809
申请日：2006-07-05
申请人： Krishna Leela Poola
发明人： Krishna Leela Poola
IPC分类号： G06F17/30
CPC分类号： G06F17/3071 , G06F17/2211 , G06F17/2264 , G06F17/248 , G06F17/30896 , G06K9/6219 , Y10S707/99935
摘要： Web page clustering techniques described herein are URL Clustering and Page Clustering, whereby clustering algorithms cluster together pages that are structurally similar. Regarding URL clustering, because similarly structured pages have similar patterns in their URLs, grouping similar URL patterns will group structurally similar pages. Embodiments of URL clustering may involve: (a) URL normalization and (b) URL variation computation. Regarding page clustering, page feature-based techniques further cluster any given set of homogenous clusters, reducing the number of clusters based on the underlying page code. Embodiments of page clustering may reduce the number of clusters based on the tag probabilities and the tag sequence, utilizing an Approximate Nearest Neighborhood (ANN) graph along with evaluation of intra-cluster and inter-cluster compactness.
摘要翻译：本文描述的网页聚类技术是URL聚类和页面聚类，其中聚类算法将结构上类似的页面聚类在一起。关于URL聚类，因为类似结构化的页面在其URL中具有相似的模式，所以对类似的URL模式进行分组会将结构上类似的页面分组。 URL聚类的实施例可以包括：（a）URL归一化和（b）URL变化计算。关于页面聚类，基于页面特征的技术进一步聚集任何给定的同质聚类集合，从而减少基于底层页面代码的聚类数量。基于标签概率和标签序列，页面聚类的实施例可以使用近似最近邻域（ANN）图以及群内和集群内紧密度的评估来减少簇的数量。

6. 发明授权

US10095788B2 Context-sensitive deeplinks 有权
公开(公告)号：US10095788B2
公开(公告)日：2018-10-09
申请号：US13437443
申请日：2012-04-02
申请人： Mehulkumar Parsana , Rahul Agrawal , Krishna Leela Poola
发明人： Mehulkumar Parsana , Rahul Agrawal , Krishna Leela Poola
IPC分类号： G06F17/30
摘要： Deeplinks relevant to the context of a search query are included with a search result returned in response to the search query. Deeplink hierarchies may be generated for websites by analyzing web pages within the websites. A deeplink hierarchy for a website includes a hierarchy of nodes with each node including a group of deeplinks to web pages within the website. When a search query is received and a web page result identified, the search query may be employed to identify a relevant node of deeplinks from a deeplink hierarchy for a website corresponding with the web page result. A search result may then be returned for the web page result that includes the identified deeplinks.

7. 发明申请

US20090171986A1 TECHNIQUES FOR CONSTRUCTING SITEMAP OR HIERARCHICAL ORGANIZATION OF WEBPAGES OF A WEBSITE USING DECISION TREES 审中-公开
标题翻译：构建使用决策权的网站的网站地图或分层组织的技术
公开(公告)号：US20090171986A1
公开(公告)日：2009-07-02
申请号：US11965320
申请日：2007-12-27
申请人： Krishna Prasad Chitrapura , Pavan Kumar Ganganahalli Marulappa , Krishna Leela Poola , Mahesh Tiyyagura
发明人： Krishna Prasad Chitrapura , Pavan Kumar Ganganahalli Marulappa , Krishna Leela Poola , Mahesh Tiyyagura
IPC分类号： G06F17/30
CPC分类号： G06F16/951
摘要： A decision tree may be determined that is a site map for a domain of web pages. A clustering of a plurality of web pages of a domain is determined, in an unsupervised fashion, based on content-related features of the plurality of web pages. Each determined cluster includes a plurality of web pages, each of the plurality of web pages characterized by a resource locator and each of the resource locators being characterized by at least one resource locator token. The clustering is processed to organize indications of the content-related features of the plurality of web pages into a decision tree characterized by a plurality of nodes, each node characterized by a feature and a value, the feature being at least one of the resource locator tokens and the value being a value of that resource locator token.
摘要翻译：可以确定作为网页域的站点地图的决策树。基于多个网页的内容相关特征，以无监督的方式确定域的多个网页的聚类。每个确定的群集包括多个网页，所述多个网页中的每一个由资源定位符表征，并且每个资源定位符的特征在于至少一个资源定位符令牌。处理群集以将多个网页的内容相关特征的指示组织成由多个节点表征的决策树，每个节点的特征在于特征和值，该特征是资源定位符中的至少一个令牌，该值是该资源定位符令牌的值。

8. 发明授权

US07962523B2 System and method for detecting templates of a website using hyperlink analysis 有权
标题翻译：使用超链接分析检测网站模板的系统和方法
公开(公告)号：US07962523B2
公开(公告)日：2011-06-14
申请号：US12101293
申请日：2008-04-11
申请人： Krishna Leela Poola
发明人： Krishna Leela Poola
IPC分类号： G06F7/00 , G06F17/30 , G06F13/14
CPC分类号： G06F17/30887
摘要： The present invention relates to methods, systems, and computer readable media comprising instructions for detecting templates within one or more web pages comprising a website. The method of the present invention comprises generating one or more groups of hyperlinks within a respective web page of the one or more web pages comprising the website. An in-link score is calculated for a given uniform resource locator associated with the one or more web pages comprising the website. The hyperlink groups in which the uniform resource locators associated with the one or more web pages comprising the website appear are identified. A template score is assigned to the identified hyperlinks groups on the basis of the in-link score associated with the uniform resource locators to which the hyperlinks comprising the hyperlink group correspond. The hyperlink groups with template scores exceeding a given template score threshold are thereafter identified as templates.
摘要翻译：本发明涉及包括用于检测包括网站的一个或多个网页内的模板的指令的方法，系统和计算机可读介质。本发明的方法包括在包含该网站的一个或多个网页的相应网页内生成一组或多组超链接。对于与包括网站的一个或多个网页相关联的给定的统一资源定位器，计算链接内分数。识别与包含网站的一个或多个网页相关联的统一资源定位符的超链接组。基于与包含超链接组的超链接相对应的统一资源定位符相关联的链接内分数，将模板评分分配给所标识的超链接组。具有超过给定模板分数阈值的模板分数的超链接组随后被识别为模板。

9. 发明授权

US07941420B2 Method for organizing structurally similar web pages from a web site 有权
标题翻译：从网站组织结构相似的网页的方法
公开(公告)号：US07941420B2
公开(公告)日：2011-05-10
申请号：US11838351
申请日：2007-08-14
申请人： Krishna Prasad Chitrapura , Krishna Leela Poola
发明人： Krishna Prasad Chitrapura , Krishna Leela Poola
IPC分类号： G06F17/30
CPC分类号： G06F17/30896
摘要： Techniques are described for organizing structurally similar web pages for a website. Fingerprints are made of the structure of the web pages using shingling by placing the web page's HTML tags and attributes in sequence and encoding the tags and attributes using a standard encoding technique. Fixed-size portions of the encoded sequence are taken and a set of values extracted using independent hash functions to compute the shingles. Alternatively, a DOM tree representation of HTML of the web page is generated and each path of the DOM tree encoded and values extracted using independent hash functions to compute the shingles. A specified number of shingles are retained as the fingerprint. The pages are then clustered based upon the URL and the similarity of the shingles. The clustered hierarchal organization of pages is further pruned by various criteria including similarity of shingles or support of the cluster node in the hierarchy.
摘要翻译：描述了用于组织网站的结构相似网页的技术。使用标准编码技术，通过依次放置网页的HTML标签和属性并对标签和属性进行编码，指纹由网页的结构构成。采用编码序列的固定大小部分，并使用独立散列函数提取一组值来计算带状疱疹。或者，生成网页的HTML的DOM树表示，并且使用独立散列函数对DOM树的每个路径进行编码和提取，以计算带状疱疹。保留指定数量的带状键作为指纹。然后基于URL和带状疱疹的相似性来聚集页面。通过各种标准进一步修剪页面的集群层次结构，包括层次结构中带状块的相似性或群集节点的支持。

10. 发明授权

US07676465B2 Techniques for clustering structurally similar web pages based on page features 有权
标题翻译：基于页面特征聚类结构相似网页的技术
公开(公告)号：US07676465B2
公开(公告)日：2010-03-09
申请号：US11481809
申请日：2006-07-05
申请人： Krishna Leela Poola
发明人： Krishna Leela Poola
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/3071 , G06F17/2211 , G06F17/2264 , G06F17/248 , G06F17/30896 , G06K9/6219 , Y10S707/99935
摘要： Web page clustering techniques described herein are URL Clustering and Page Clustering, whereby clustering algorithms cluster together pages that are structurally similar. Regarding URL clustering, because similarly structured pages have similar patterns in their URLs, grouping similar URL patterns will group structurally similar pages. Embodiments of URL clustering may involve: (a) URL normalization and (b) URL variation computation. Regarding page clustering, page feature-based techniques further cluster any given set of homogenous clusters, reducing the number of clusters based on the underlying page code. Embodiments of page clustering may reduce the number of clusters based on the tag probabilities and the tag sequence, utilizing an Approximate Nearest Neighborhood (ANN) graph along with evaluation of intra-cluster and inter-cluster compactness.
摘要翻译：本文描述的网页聚类技术是URL聚类和页面聚类，其中聚类算法将结构上类似的页面聚类在一起。关于URL聚类，因为类似结构化的页面在其URL中具有相似的模式，所以对类似的URL模式进行分组会将结构上类似的页面分组。 URL聚类的实施例可以包括：（a）URL归一化和（b）URL变化计算。关于页面聚类，基于页面特征的技术进一步聚集任何给定的同质聚类集合，从而减少基于底层页面代码的聚类数量。基于标签概率和标签序列，页面聚类的实施例可以使用近似最近邻域（ANN）图以及群内和集群内紧密度的评估来减少簇的数量。

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