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1. 发明申请

US20160337401A1 IDENTIFYING PHISHING COMMUNICATIONS USING TEMPLATES 有权
标题翻译：使用模板识别通信通信
公开(公告)号：US20160337401A1
公开(公告)日：2016-11-17
申请号：US14711407
申请日：2015-05-13
申请人： Google Inc.
发明人： Mike Bendersky , Luis Garcia Pueyo , Kashyap Ramesh Puranik , Amitabh Saikia , Jie Yang , Marc-Allen Cartright
IPC分类号： H04L29/06
CPC分类号： H04L63/1483 , H04L63/0254 , H04L63/1425 , H04L63/20
摘要： Methods, apparatus, systems, and computer-readable media are provided for determining whether communications are attempts at phishing. In various implementations, a potentially-deceptive communication may be matched to one or more templates of a plurality of templates. Each template may represent content shared among a cluster of communications sent by a trustworthy entity. In various implementations, it may be determined that an address associated with the communication is not affiliated with one or more trustworthy entities associated with the one or more matched templates. In various implementations, the communication may be classified as a phishing attempt based on the determining.
摘要翻译：提供了方法，装置，系统和计算机可读介质，用于确定通信是否是网络钓鱼的尝试。在各种实现中，潜在的欺骗性通信可以与多个模板中的一个或多个模板相匹配。每个模板可以表示由可信赖实体发送的通信集群之间共享的内容。在各种实现中，可以确定与通信相关联的地址不隶属于与一个或多个匹配模板相关联的一个或多个可信赖实体。在各种实现中，可以基于确定将通信分类为网络钓鱼尝试。

2. 发明申请

US20160110352A1 INFORMATION REDACTION FROM DOCUMENT DATA 有权
标题翻译：从文件数据中删除的信息
公开(公告)号：US20160110352A1
公开(公告)日：2016-04-21
申请号：US14520018
申请日：2014-10-21
申请人： Google Inc.
发明人： Mike Bendersky , Vanja Josifovski , Amitabh Saikia , Marc-Allen Cartright , Jie Yang , Luis Garcia Pueyo , MyLinh Yang
IPC分类号： G06F17/30
CPC分类号： G06F17/30011 , G06F21/6218 , G06F21/6227 , G06F21/6254 , G06F21/64 , G06Q10/101 , G06Q30/0254
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for redacting data from a document collection generated for a set of documents that include personal information. The redaction of the data is based in part on a comparison of the document collection to a set of a personal documents of users for which the users have provided explicit approval to use in the processing of the document collection.
摘要翻译：方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于从为包括个人信息的一组文档生成的文档集合中进行数据的修改。数据的修改部分基于文档收集与一组用户的个人文档的比较，用户已经提供明确的批准用于处理文档集合。

3. 发明授权

US09734148B2 Information redaction from document data 有权
公开(公告)号：US09734148B2
公开(公告)日：2017-08-15
申请号：US14520018
申请日：2014-10-21
申请人： Google Inc.
发明人： Mike Bendersky , Vanja Josifovski , Amitabh Saikia , Marc-Allen Cartright , Jie Yang , Luis Garcia Pueyo , MyLinh Yang
IPC分类号： G06F17/30 , G06F21/62 , G06F21/64 , G06Q10/10 , G06Q30/02
CPC分类号： G06F17/30011 , G06F21/6218 , G06F21/6227 , G06F21/6254 , G06F21/64 , G06Q10/101 , G06Q30/0254
摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for redacting data from a document collection generated for a set of documents that include personal information. The redaction of the data is based in part on a comparison of the document collection to a set of a personal documents of users for which the users have provided explicit approval to use in the processing of the document collection.

4. 发明申请

US20170149824A1 IDENTIFYING PHISHING COMMUNICATIONS USING TEMPLATES 有权
公开(公告)号：US20170149824A1
公开(公告)日：2017-05-25
申请号：US15416632
申请日：2017-01-26
申请人： Google Inc.
发明人： Mike Bendersky , Luis Garcia Pueyo , Kashyap Ramesh Puranik , Amitabh Saikia , Jie Yang , Marc-Allen Cartright
IPC分类号： H04L29/06
CPC分类号： H04L63/1483 , H04L63/0254 , H04L63/1425 , H04L63/20
摘要： Methods, apparatus, systems, and computer-readable media are provided for determining whether communications are attempts at phishing. In various implementations, a potentially-deceptive communication may be matched to one or more templates of a plurality of templates. Each template may represent content shared among a cluster of communications sent by a legitimate entity. In various implementations, it may be determined that an address associated with the communication is not affiliated with one or more legitimate entities associated with the one or more matched templates. In various implementations, the communication may be classified as a phishing attempt based on the determining.

5. 发明授权

US10540610B1 Generating and applying a trained structured machine learning model for determining a semantic label for content of a transient segment of a communication 有权
公开(公告)号：US10540610B1
公开(公告)日：2020-01-21
申请号：US15139807
申请日：2016-04-27
申请人： Google Inc.
发明人： Jie Yang , Amr Ahmed , Luis Garcia Pueyo , Mike Bendersky , Amitabh Saikia , Marc-Allen Cartright , Marc Alexander Najork , MyLinh Yang , Hui Tan , Weinan Zhang , Vanja Josifovski , Alexander J. Smola
IPC分类号： G06N7/00 , G06N20/00 , H04L12/58
摘要： Methods, apparatus, and computer-readable media are provided for analyzing a cluster of communications, such as B2C emails, to generate a template for the cluster that defines transient segments and fixed segments of the cluster of communications. More particularly, methods, apparatus, and computer-readable media are provided for generating and/or applying a trained structured machine learning model for a generated template that can be used to determine, for one or more transient segments of subsequent communications, a corresponding probability that a given semantic label is the correct semantic label for extracted content of the transient segment(s).

6. 发明授权

US09785705B1 Generating and applying data extraction templates 有权
公开(公告)号：US09785705B1
公开(公告)日：2017-10-10
申请号：US14516122
申请日：2014-10-16
申请人： Google Inc.
发明人： Marc-Allen Cartright , Luis Garcia Pueyo , Vanja Josifovski , Amitabh Saikia , Jie Yang , Mike Bendersky , MyLinh Yang
IPC分类号： G06F17/30
CPC分类号： G06F17/30705
摘要： Methods, apparatus, systems, and computer-readable media are provided for generating and applying data extraction templates. In various implementations, a corpus of plain text communications such as emails may be grouped into clusters based on one or more similarities between the plain text communications. One or more segments of communications of a particular cluster may be classified as transient based on textual pattern matching. One or more other segments of the communications of the particular cluster may be classified as transient based on various criteria. One or more transient segments may be assigned a generic and/or specific semantic data type and/or a confidentiality designation based on various signals. A data extraction template may be generated to extract, from subsequent plain text communications, content associated with transient (and in some cases, non-confidential) segments.

7. 发明授权

US09563689B1 Generating and applying data extraction templates 有权
标题翻译：生成和应用数据提取模板
公开(公告)号：US09563689B1
公开(公告)日：2017-02-07
申请号：US14470510
申请日：2014-08-27
申请人： Google Inc.
发明人： Luis Garcia Pueyo , Vanja Josifovski , Amitabh Saikia , Jie Yang , Mike Bendersky , Srinidhi Viswanatha , Marc-Allen Cartright
IPC分类号： G06F17/30
CPC分类号： G06F17/30705
摘要： Methods, apparatus, and computer-readable media are provided for generating and applying data extraction templates. In various implementations, a corpus of structured communications such as emails may be grouped into clusters based on one or more similarities between the structured communications. A set of structural paths may be identified from structured communications of a particular cluster. One or more structural paths of the set may be classified as transient wherein a count of occurrences of one or more associated segments of text across the particular cluster satisfies a criterion. One or more transient paths may be assigned a semantic data type and/or a confidentiality designation based on various signals. A data extraction template may be generated to extract, from subsequent structured communications, segments of text associated with transient (and in some cases, non-confidential) structural paths.
摘要翻译：提供了用于生成和应用数据提取模板的方法，装置和计算机可读介质。在各种实现中，诸如电子邮件的结构化通信语料库可以基于结构化通信之间的一个或多个相似性被分组成群集。可以从特定集群的结构化通信中识别一组结构路径。该集合的一个或多个结构路径可以被分类为瞬时，其中跨越特定集群的一个或多个相关联的文本段的出现次数满足标准。可以基于各种信号为一个或多个瞬态路径分配语义数据类型和/或机密性指定。可以生成数据提取模板，以从后续结构化通信中提取与瞬态（以及在一些情况下，非机密）结构路径相关联的文本段。

8. 发明授权

US10394832B2 Ranking search results documents 有权
公开(公告)号：US10394832B2
公开(公告)日：2019-08-27
申请号：US15332839
申请日：2016-10-24
申请人： Google Inc.
发明人： Mike Bendersky , Marc Alexander Najork , Donald Metzler , Xuanhui Wang
IPC分类号： G06F16/25 , G06F16/248 , G06F16/335 , G06F16/2457
摘要： Methods and apparatus related to using document feature(s) of a document that is responsive to a query, and optionally query feature(s) of the query, to determine a presentation characteristic for presenting a search result that corresponds to the document. In some implementations, measures associated with the document feature(s) and/or query feature(s) may be used to determine the presentation characteristic. The measures may be based on past interactions, by corresponding users, with other documents that share one or more of the document features with the document, where a plurality of the other documents are different from the document (and optionally each different from one another). In some implementations, the document and/or the other documents include, or are restricted to, documents that are access restricted.

9. 发明授权

US10360537B1 Generating and applying event data extraction templates 有权
公开(公告)号：US10360537B1
公开(公告)日：2019-07-23
申请号：US15484933
申请日：2017-04-11
申请人： Google Inc.
发明人： Mike Bendersky , Maureen Heymans , Jinan Lou , Jie Yang , MyLinh Yang , Amitabh Saikia , Marc-Allen Cartright , Vanja Josifovski , Hui Tan , Luis Garcia Pueyo
IPC分类号： G06F17/30 , G06Q10/10 , G06F16/248 , G06F16/9535 , H04W4/029
摘要： Techniques are described herein for generating and applying event data extraction templates. In various implementations, a data extraction template may be applied to structured communications to extract, from each structured communication, event data associated with a transient markup language path indicated in the data extraction template. The data extraction template may include an event-related semantic data type assigned to the transient markup language path and a strength of association between the transient structural path and the event-related semantic data type. Feedback may be obtained concerning event data extracted from one or more of the structured communications. Based on the feedback, the strength of association between the transient markup language path and the event-related semantic data type may be altered. The data extraction template may then be applied to a subsequent structured communication to extract new event data from the structured communication based on the altered strength of association.

10. 发明申请

US20170147834A1 IDENTIFYING QUERY PATTERNS AND ASSOCIATED AGGREGATE STATISTICS AMONG SEARCH QUERIES 有权
公开(公告)号：US20170147834A1
公开(公告)日：2017-05-25
申请号：US14950052
申请日：2015-11-24
申请人： Google Inc.
发明人： Mike Bendersky , Donald Metzler , Marc Alexander Najork , Dor Naveh , Vlad Panait , Xuanhui Wang
IPC分类号： G06F21/62 , G06F17/30
CPC分类号： G06F21/6227 , G06F17/30477 , G06F17/30522 , G06F17/3053 , G06F17/3064 , G06F17/30867 , G06F17/3097 , G06F21/6245
摘要： In various implementations, a plurality of non-private n-grams that satisfy a privacy criterion may be identified within a search log of private search queries and corresponding post-search activity. A plurality of query patterns may be generated based on the plurality of non-private n-grams. Aggregate search activity statistics associated with each of the plurality of query patterns may be determined from the search log. Aggregate search activity statistics associated with each query pattern may be indicative of search activity associated with a plurality of private search queries in the search log that match the query pattern. In response to a determination that aggregate search activity statistics for a given query pattern satisfy a performance criterion, a methodology for generating data that is presented in response to search queries that match the given query pattern may be altered based on aggregate search activity statistics associated with the given query pattern.

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