Generating and applying outgoing communication templates

    公开(公告)号:US09940318B2

    公开(公告)日:2018-04-10

    申请号:US14986644

    申请日:2016-01-01

    Applicant: Google Inc.

    CPC classification number: G06F17/248 G06F17/243 G06F17/2735 G06F17/30958

    Abstract: Methods, apparatus, systems, and computer-readable media are provided for generating and applying outgoing communication templates. In various implementations a corpus of outgoing communications sent by a user may be grouped into a plurality of clusters based on one or more attributes of a context of the user. One or more segments of each outgoing communication of a particular cluster may be classified as fixed in response to a determination that a count of occurrences of the one or more segments across the particular cluster satisfies a criterion. One or more remaining segments of each communication of the particular cluster may or may not be classified as transient. Based on sequences of classified segments associated with each communication of the particular cluster, an outgoing communication template may be generated to automatically populate at least a portion of a draft outgoing communication being prepared by the user.

    GENERATING AND APPLYING OUTGOING COMMUNICATION TEMPLATES

    公开(公告)号:US20170192953A1

    公开(公告)日:2017-07-06

    申请号:US14986644

    申请日:2016-01-01

    Applicant: Google Inc.

    CPC classification number: G06F17/248 G06F17/243 G06F17/2735 G06F17/30958

    Abstract: Methods, apparatus, systems, and computer-readable media are provided for generating and applying outgoing communication templates. In various implementations a corpus of outgoing communications sent by a user may be grouped into a plurality of clusters based on one or more attributes of a context of the user. One or more segments of each outgoing communication of a particular cluster may be classified as fixed in response to a determination that a count of occurrences of the one or more segments across the particular cluster satisfies a criterion. One or more remaining segments of each communication of the particular cluster may or may not be classified as transient. Based on sequences of classified segments associated with each communication of the particular cluster, an outgoing communication template may be generated to automatically populate at least a portion of a draft outgoing communication being prepared by the user.

    CLASSIFYING DOCUMENTS BY CLUSTER
    3.
    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。

    Systems and methods for estimating message similarity

    公开(公告)号:US09774553B2

    公开(公告)日:2017-09-26

    申请号:US14557310

    申请日:2014-12-01

    Applicant: Google Inc.

    CPC classification number: H04L51/22 H04L51/14

    Abstract: Systems and methods are provided for organizing messages. A plurality of messages is communicated to a user with a designation of the message category of each respective message in the plurality of messages. The plurality of messages includes, for each respective message category in a plurality of message categories, at least one message in the respective message category. A user selection of a first message in the plurality of messages is received, whereupon a subset of the plurality of messages similar to the first message is selected based upon respective comparisons of continuous vector representations of (i) a set of words in the first message and (ii) a corresponding set of words in messages in the subset of messages. An identification of each respective message in the subset of messages is then displayed.

    SYSTEMS AND METHODS FOR ESTIMATING MESSAGE SIMILARITY
    5.
    发明申请
    SYSTEMS AND METHODS FOR ESTIMATING MESSAGE SIMILARITY 有权
    用于估计消息相似性的系统和方法

    公开(公告)号:US20160156580A1

    公开(公告)日:2016-06-02

    申请号:US14557310

    申请日:2014-12-01

    Applicant: Google Inc.

    CPC classification number: H04L51/22 H04L51/14

    Abstract: Systems and methods are provided for organizing messages. A plurality of messages is communicated to a user with a designation of the message category of each respective message in the plurality of messages. The plurality of messages includes, for each respective message category in a plurality of message categories, at least one message in the respective message category. A user selection of a first message in the plurality of messages is received, whereupon a subset of the plurality of messages similar to the first message is selected based upon respective comparisons of continuous vector representations of (i) a set of words in the first message and (ii) a corresponding set of words in messages in the subset of messages. An identification of each respective message in the subset of messages is then displayed.

    Abstract translation: 提供系统和方法来组织消息。 多个消息通过多个消息中的每个相应消息的消息类别的指定被传送给用户。 对于多个消息类别中的每个相应消息类别,多个消息包括相应消息类别中的至少一个消息。 接收多个消息中的第一消息的用户选择,由此基于对(i)第一消息中的一组单词的连续矢量表示的相应比较来选择与第一消息相似的多个消息的子集。 和(ii)消息子集中的消息中相应的一组单词。 然后显示消息子集中每个相应消息的标识。

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