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1. 发明申请

US20100179929A1 SYSTEM FOR FINDING QUERIES AIMING AT TAIL URLs 有权
标题翻译：在尾部URL中查找查询的系统
公开(公告)号：US20100179929A1
公开(公告)日：2010-07-15
申请号：US12351013
申请日：2009-01-09
申请人： Xiaoxin Yin , Vijay Ravindran Nair , Ryan Frederick Stewart , Fang Liu , Junhua Wang , Tiffany Kumi Dohzen , Yi-Min Wang
发明人： Xiaoxin Yin , Vijay Ravindran Nair , Ryan Frederick Stewart , Fang Liu , Junhua Wang , Tiffany Kumi Dohzen , Yi-Min Wang
IPC分类号： G06F15/18 , G06N5/02
CPC分类号： G06F17/30864
摘要： Systems and methodologies for improved query classification and processing are provided herein. As described herein, a query prediction model can be constructed from a set of training data (e.g., diagnostic data obtained from an automatic diagnostic system and/or other suitable data) using a machine learning-based technique. Subsequently upon receiving a query, a set of features corresponding to the query, such as the length and/or frequency of the query, unigram probabilities of respective words and/or groups of words in the query, presence of pre-designated words or phrases in the query, or the like, can be generated. The generated features can then be analyzed in combination with the query prediction model to classify the query by predicting whether the query is aimed at a head Uniform Resource Locator (URL) or a tail URL. Based on this prediction, an appropriate index or combination of indexes can be assigned to answer the query.
摘要翻译：本文提供了改进的查询分类和处理的系统和方法。如本文所述，可以使用基于机器学习的技术从一组训练数据（例如，从自动诊断系统获得的诊断数据和/或其他合适的数据）来构建查询预测模型。随后在接收到查询后，查询对应的一组特征，诸如查询的长度和/或频率，查询中各个单词和/或单词组的单位概率，预先指定的单词或短语的存在在查询等中可以生成。然后可以结合查询预测模型分析生成的特征，以通过预测查询是针对头统一资源定位符（URL）还是尾URL来对查询进行分类。基于该预测，可以分配适当的索引或索引组合来回答查询。

2. 发明授权

US08145622B2 System for finding queries aiming at tail URLs 有权
标题翻译：用于查找针对尾部URL的查询的系统
公开(公告)号：US08145622B2
公开(公告)日：2012-03-27
申请号：US12351013
申请日：2009-01-09
申请人： Xiaoxin Yin , Vijay Ravindran Nair , Ryan Frederick Stewart , Fang Liu , Junhua Wang , Tiffany Kumi Dohzen , Yi-Min Wang
发明人： Xiaoxin Yin , Vijay Ravindran Nair , Ryan Frederick Stewart , Fang Liu , Junhua Wang , Tiffany Kumi Dohzen , Yi-Min Wang
IPC分类号： G06F7/00
CPC分类号： G06F17/30864
摘要： Systems and methodologies for improved query classification and processing are provided herein. As described herein, a query prediction model can be constructed from a set of training data (e.g., diagnostic data obtained from an automatic diagnostic system and/or other suitable data) using a machine learning-based technique. Subsequently upon receiving a query, a set of features corresponding to the query, such as the length and/or frequency of the query, unigram probabilities of respective words and/or groups of words in the query, presence of pre-designated words or phrases in the query, or the like, can be generated. The generated features can then be analyzed in combination with the query prediction model to classify the query by predicting whether the query is aimed at a head Uniform Resource Locator (URL) or a tail URL. Based on this prediction, an appropriate index or combination of indexes can be assigned to answer the query.
摘要翻译：本文提供了改进的查询分类和处理的系统和方法。如本文所述，可以使用基于机器学习的技术从一组训练数据（例如，从自动诊断系统获得的诊断数据和/或其他合适的数据）来构建查询预测模型。随后在接收到查询后，查询对应的一组特征，诸如查询的长度和/或频率，查询中各个单词和/或单词组的单位概率，预先指定的单词或短语的存在在查询等中可以生成。然后可以结合查询预测模型分析生成的特征，以通过预测查询是针对头统一资源定位符（URL）还是尾URL来对查询进行分类。基于该预测，可以分配适当的索引或索引组合来回答查询。

3. 发明授权

US08041710B2 Automatic diagnosis of search relevance failures 有权
标题翻译：自动诊断搜索相关性故障
公开(公告)号：US08041710B2
公开(公告)日：2011-10-18
申请号：US12270201
申请日：2008-11-13
申请人： Li-wei He , Wenzhao Tan , Jinliang Fan , Yi-Min Wang , Xiaoxin Yin
发明人： Li-wei He , Wenzhao Tan , Jinliang Fan , Yi-Min Wang , Xiaoxin Yin
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： Search relevance failures are diagnosed automatically. Users presented with unsatisfactory search results can report their dissatisfaction through various mechanisms. Dissatisfaction reports can trigger automatic investigation into the root cause of such dissatisfaction. Based on the identified root cause, a search engine can be modified to resolve the issue creating dissatisfaction thereby improving search engine quality.
摘要翻译：搜索相关性故障自动诊断。用户不满意的搜索结果可以通过各种机制报告他们的不满。不满意的报告可能引发自动调查，造成这种不满的根本原因。基于确定的根本原因，可以修改搜索引擎来解决创建不满意的问题，从而提高搜索引擎的质量。

4. 发明授权

US09460419B2 Structuring unstructured web data using crowdsourcing 有权
标题翻译：使用众包构建非结构化Web数据
公开(公告)号：US09460419B2
公开(公告)日：2016-10-04
申请号：US12971976
申请日：2010-12-17
申请人： Yi-Chin Tu , Aleksey Sinyagin , Xiaoxin Yin , Wenzhao Tan , Li-wei He , Yi-Min Wang , Emre Kiciman , Chun-Kai Wang
发明人： Yi-Chin Tu , Aleksey Sinyagin , Xiaoxin Yin , Wenzhao Tan , Li-wei He , Yi-Min Wang , Emre Kiciman , Chun-Kai Wang
IPC分类号： G06F17/30 , G06Q10/10
CPC分类号： G06Q10/101 , G06F17/30882
摘要： A crowdsourcing data structuring system and method for capturing unstructured data from the Web and adding structure by placing the data in a document that is accessible by others in a cloud computing environment. Using crowdsourcing, the unstructured data is annotated, amended, and verified to add structure to the unstructured data. An anchor and update module convert the data to a pointer that links the document to the data at an information source and stores the pointer in the document rather than the data itself. The data displayed in the document is updated whenever the information source is updated. A contribution module allows users to add data to the document, a validation module allows users to determine the validity of the data linked to in the document, and an expert ranking module allows users to rank the expert or contributor of the data in the document.
摘要翻译：用于从Web获取非结构化数据并通过将数据放置在可由其他人在云计算环境中访问的文档中来添加结构的众包数据结构化系统和方法。使用众包，非结构化数据进行注释，修改和验证，以向非结构化数据添加结构。锚和更新模块将数据转换为将文档链接到信息源上的数据的指针，并将指针存储在文档中而不是数据本身。每当更新信息源时，文档中显示的数据都会更新。贡献模块允许用户向文档添加数据，验证模块允许用户确定文档中链接的数据的有效性，专家排名模块允许用户对文档中的数据的专家或贡献者进行排名。

5. 发明申请

US20120158668A1 STRUCTURING UNSTRUCTURED WEB DATA USING CROWDSOURCING 有权
标题翻译：使用CROWDSOURCING结构化非WEB网络数据
公开(公告)号：US20120158668A1
公开(公告)日：2012-06-21
申请号：US12971976
申请日：2010-12-17
申请人： Yi-Chin Tu , Aleksey Sinyagin , Xiaoxin Yin , Wenzhao Tan , Li-wei He , Yi-Min Wang , Emre Kiciman , Chun-Kai Wang
发明人： Yi-Chin Tu , Aleksey Sinyagin , Xiaoxin Yin , Wenzhao Tan , Li-wei He , Yi-Min Wang , Emre Kiciman , Chun-Kai Wang
IPC分类号： G06F17/30
CPC分类号： G06Q10/101 , G06F17/30882
摘要： A crowdsourcing data structuring system and method for capturing unstructured data from the Web and adding structure by placing the data in a document that is accessible by others in a cloud computing environment. Using crowdsourcing, the unstructured data is annotated, amended, and verified to add structure to the unstructured data. An anchor and update module convert the data to a pointer that links the document to the data at an information source and stores the pointer in the document rather than the data itself. The data displayed in the document is updated whenever the information source is updated. A contribution module allows users to add data to the document, a validation module allows users to determine the validity of the data linked to in the document, and an expert ranking module allows users to rank the expert or contributor of the data in the document.
摘要翻译：用于从Web获取非结构化数据并通过将数据放置在可由其他人在云计算环境中访问的文档中来添加结构的众包数据结构化系统和方法。使用众包，非结构化数据进行注释，修改和验证，以向非结构化数据添加结构。锚和更新模块将数据转换为将文档链接到信息源上的数据的指针，并将指针存储在文档中而不是数据本身。每当更新信息源时，文档中显示的数据都会更新。贡献模块允许用户向文档添加数据，验证模块允许用户确定文档中链接的数据的有效性，专家排名模块允许用户对文档中的数据的专家或贡献者进行排名。

6. 发明申请

US20100121841A1 AUTOMATIC DIAGNOSIS OF SEARCH RELEVANCE FAILURES 有权
标题翻译：搜索相关失败的自动诊断
公开(公告)号：US20100121841A1
公开(公告)日：2010-05-13
申请号：US12270201
申请日：2008-11-13
申请人： Li-wei He , Wenzhao Tan , Jinliang Fan , Yi-Min Wang , Xiaoxin Yin
发明人： Li-wei He , Wenzhao Tan , Jinliang Fan , Yi-Min Wang , Xiaoxin Yin
IPC分类号： G06F7/10 , G06F17/30 , G06N5/02
CPC分类号： G06F17/30867
摘要： Search relevance failures are diagnosed automatically. Users presented with unsatisfactory search results can report their dissatisfaction through various mechanisms. Dissatisfaction reports can trigger automatic investigation into the root cause of such dissatisfaction. Based on the identified root cause, a search engine can be modified to resolve the issue creating dissatisfaction thereby improving search engine quality.
摘要翻译：搜索相关性故障自动诊断。用户不满意的搜索结果可以通过各种机制报告他们的不满。不满意的报告可能引发自动调查，造成这种不满的根本原因。基于确定的根本原因，可以修改搜索引擎来解决创建不满意的问题，从而提高搜索引擎的质量。

7. 发明授权

US08667117B2 Search ranger system and double-funnel model for search spam analyses and browser protection 有权
标题翻译：搜索游侠系统和双漏斗模型，用于搜索垃圾邮件分析和浏览器保护
公开(公告)号：US08667117B2
公开(公告)日：2014-03-04
申请号：US11756602
申请日：2007-05-31
申请人： Yi-Min Wang , Ming Ma
发明人： Yi-Min Wang , Ming Ma
IPC分类号： G06F15/173 , G06F15/16 , G06F7/00 , G06F17/30
CPC分类号： G06F17/30864
摘要： An exemplary method for protecting web browsers from spam includes providing a multi-layer model that includes a doorway layer, a redirection domain layer, an aggregator layer, a syndicator layer and an advertiser layer; identifying domains as being associated with at least one of the layers; and, based at least in part on the identifying, taking one or more corrective actions to protect web browsers from search spam. An exemplary method for identifying a bottleneck layer in a multi-layer spam model includes providing a multi-layer spam model, collecting spam advertisements, associating a block of IP addresses with the collected spam advertisements and identifying a bottleneck layer based on the block of IP addresses. Other methods, systems, etc., are also disclosed.
摘要翻译：用于保护web浏览器免受垃圾邮件的示例性方法包括提供包括门口层，重定向域层，聚合器层，聚合器层和广告商层的多层模型; 将域标识为与所述层中的至少一个相关联; 并且至少部分地基于识别，采取一个或多个纠正措施来保护网络浏览器免于搜索垃圾邮件。用于识别多层垃圾邮件模型中的瓶颈层的示例性方法包括提供多层垃圾邮件模型，收集垃圾邮件广告，将IP地址块与收集的垃圾广告相关联，以及基于IP块识别瓶颈层地址还公开了其它方法，系统等。

8. 发明授权

US08024815B2 Isolation environment-based information access 有权
标题翻译：隔离环境的信息访问
公开(公告)号：US08024815B2
公开(公告)日：2011-09-20
申请号：US11532127
申请日：2006-09-15
申请人： Jacob R. Lorch , Yi-Min Wang , Chad Verbowski , Helen J. Wang , Samuel King
发明人： Jacob R. Lorch , Yi-Min Wang , Chad Verbowski , Helen J. Wang , Samuel King
IPC分类号： G06F7/04 , G06F17/30
CPC分类号： H04N21/818 , H04N21/4435 , H04N21/4437
摘要： In an embodiment of isolation environment-based information access, programs—including operating systems and applications—running on a computing-based device can be isolated in an environment such as a virtual machine. Information including commands and/or data transmitted between the computing-based device and the program(s) being run, as well as information associated with the program(s) and the computing-based device, is accessed without being detected by the program(s). In one implementation, the information includes state information as well as commands and/or data—including sensitive information, such as usernames and passwords. In another implementation, the information can be used to secretly access the program(s).
摘要翻译：在基于隔离环境的信息访问的实施例中，可以在诸如虚拟机的环境中隔离在基于计算的设备上运行的程序（包括操作系统和应用）。访问包括在基于计算的设备和正在运行的程序之间传送的命令和/或数据的信息以及与程序和基于计算的设备相关联的信息，而不被程序检测到 s）。在一个实现中，信息包括状态信息以及诸如用户名和密码的敏感信息的命令和/或数据。在另一实现中，该信息可用于秘密地访问该程序。

9. 发明授权

US07784101B2 Identifying dependencies of an application upon a given security context 有权
标题翻译：识别应用程序在给定安全上下文中的依赖关系
公开(公告)号：US07784101B2
公开(公告)日：2010-08-24
申请号：US11214123
申请日：2005-08-29
申请人： Chad E Verbowski , John D. Dungan , Shuo Chen , Yi-Min Wang
发明人： Chad E Verbowski , John D. Dungan , Shuo Chen , Yi-Min Wang
IPC分类号： G06F21/00 , G06F17/30
CPC分类号： G06F21/6218 , G06F2221/2101
摘要： A technique for identifying dependencies of an application upon a given security context includes monitoring security checks generated by the application. The security checks requiring elevated rights are identified and the state of execution of the application corresponding to the identified security checks may be logged. The security checks requiring elevated rights may be identified by monitoring access checks, monitoring privilege checks, checking user/group identifiers against a list of known identifiers associated with elevated rights, or the like.
摘要翻译：用于在给定的安全上下文中识别应用的依赖性的技术包括监视应用产生的安全检查。识别需要提升权限的安全检查，并且可能会记录与识别的安全检查对应的应用程序的执行状态。可以通过监视访问检查，监视特权检查，针对与提升的权限相关联的已知标识符的列表等来检查用户/组标识符来识别需要提高权限的安全检查。

10. 发明申请

US20100138410A1 CLICK CHAIN MODEL 有权
标题翻译：点击链模型
公开(公告)号：US20100138410A1
公开(公告)日：2010-06-03
申请号：US12327783
申请日：2008-12-03
申请人： Chao Liu , Fan Guo , Yi-Min Wang
发明人： Chao Liu , Fan Guo , Yi-Min Wang
IPC分类号： G06F17/30
CPC分类号： G06F17/30864
摘要： Techniques are described for generating a statistical model from observed click chains. The model can be used to compute a probability that a document is relevant to a given search query. With the model, a probability of a user examining a given document in a given search result conditionally depends on: a probability that a preceding document in the given search result is examined by a user viewing the given search result; a probability that the preceding document is clicked on by a user viewing the given search result, which conditionally depends directly on the probability that the preceding document is examined and on a probability of relevance of the preceding document.
摘要翻译：描述了从观察到的点击链中生成统计模型的技术。该模型可用于计算文档与给定搜索查询相关的概率。使用该模型，用户在给定搜索结果中检查给定文档的概率有条件地取决于：给定搜索结果中的前一个文档被查看给定搜索结果的用户检查的概率; 观看给定搜索结果的用户点击前一文档的概率，其有条件地直接取决于前一文档被检查的概率和前一文档的相关概率。

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