ANIMATED SNIPPETS FOR SEARCH RESULTS
    3.
    发明申请

    公开(公告)号:US20180144059A1

    公开(公告)日:2018-05-24

    申请号:US15360631

    申请日:2016-11-23

    Applicant: Google Inc.

    CPC classification number: G06F16/9577 G06F16/951 G06F16/957

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating and providing animation snippets. In one aspect, a method includes determining page resources that each include a plurality of persistent visual resources, for each of the determined page resources, generating one or more animation snippets from the persistent visual resources, for a page resource for which one or more animation snippets have been generated, selecting one of the animation snippets for display as a search result that identifies the page resource as being responsive to a search query; and providing animation snippet to a user device from which the query was submitted.

    IDENTIFYING PHISHING COMMUNICATIONS USING TEMPLATES
    4.
    发明申请
    IDENTIFYING PHISHING COMMUNICATIONS USING TEMPLATES 有权
    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

    Applicant: Google Inc.

    CPC classification number: H04L63/1483 H04L63/0254 H04L63/1425 H04L63/20

    Abstract: 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.

    Abstract translation: 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。

    INFORMATION REDACTION FROM DOCUMENT DATA
    5.
    发明申请
    INFORMATION REDACTION FROM DOCUMENT DATA 有权
    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

    Applicant: Google Inc.

    Abstract: 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.

    Abstract translation: 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。

    Generating and applying event data extraction templates

    公开(公告)号:US10360537B1

    公开(公告)日:2019-07-23

    申请号:US15484933

    申请日:2017-04-11

    Applicant: Google Inc.

    Abstract: 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.

    Generating and applying event data extraction templates

    公开(公告)号:US09652530B1

    公开(公告)日:2017-05-16

    申请号:US14470416

    申请日:2014-08-27

    Applicant: Google Inc.

    CPC classification number: G06F17/30705 G06F17/30923

    Abstract: Methods and apparatus are described herein for generating and applying event data extraction templates. In various implementations, a set of structural paths may be identified from a corpus of communications. A first structural path of the set of structural paths, associated with a first segment of text, may be classified as transient in response to a determination that a frequency of occurrences of the first segment of text across the corpus satisfies a criterion. Event heuristics may be applied to the communications of the corpus. A determination may be made, based on the applying, that the communications of the corpus are event-related. An event data type may be assigned to the transient structural path based on the applying. An event data extraction template may be generated to extract, from one or more subsequent communications, one or more event-related segments of text associated with the transient structural path.

    CLASSIFYING DOCUMENTS BY CLUSTER
    8.
    发明申请
    CLASSIFYING DOCUMENTS BY CLUSTER 审中-公开
    按CLUSTER分类文件

    公开(公告)号:US20160314184A1

    公开(公告)日:2016-10-27

    申请号:US14697342

    申请日:2015-04-27

    Applicant: Google Inc.

    CPC classification number: G06F16/35 G06Q10/107

    Abstract: Methods, apparatus, systems, and computer-readable media are provided for classifying, or “labeling,” documents such as emails en masse based on association with a cluster/template. In various implementations, a corpus of documents may be grouped into a plurality of disjoint clusters of documents based on one or more shared content attributes. A classification distribution associated with a first cluster of the plurality of clusters may be determined based on classifications assigned to individual documents of the first cluster. A classification distribution associated with a second cluster of the plurality of clusters may then be determined based at least in part on the classification distribution associated with the first cluster and a relationship between the first and second clusters.

    Abstract translation: 提供了方法,装置,系统和计算机可读介质,用于基于与集群/模板的关联来整合或“标记”诸如电子邮件的文档。 在各种实现中,基于一个或多个共享内容属性,文档的语料库可以被分组成多个不相交的文档簇。 可以基于分配给第一集群的单个文档的分类来确定与多个集群中的第一集群相关联的分类分发。 然后可以至少部分地基于与第一集群相关联的分类分布和第一和第二集群之间的关系来确定与多个集群中的第二集群相关联的分类分发。

    Generating and applying data extraction templates

    公开(公告)号:US10216838B1

    公开(公告)日:2019-02-26

    申请号:US15394610

    申请日:2016-12-29

    Applicant: Google Inc.

    Abstract: 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.

    Selecting pattern matching segments for electronic communication clustering

    公开(公告)号:US10216837B1

    公开(公告)日:2019-02-26

    申请号:US14584905

    申请日:2014-12-29

    Applicant: Google Inc.

    Abstract: Methods, apparatus, systems, and computer-readable media are provided for selecting pattern matching segments suitable for electronic communication clustering. A set of pattern matching segments may be identified that match at least one of a corpus of electronic communication addresses. A measure of coverage of each of the set of pattern matching segments across the corpus of electronic communication addresses may be determined. A score associated with each pattern matching segment may be determined based on the measure of coverage and one or more measures of flexibility associated with each of the set of pattern matching segments. One or more of the pattern matching segments may be selected based on the determine scores. A corpus of electronic communications may then be grouped into a plurality of clusters based on a comparison of the one or more selected pattern matching segments to electronic communication addresses associated with the corpus of electronic communications.

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