TECHNIQUES FOR TRANSLITERATING INPUT TEXT FROM A FIRST CHARACTER SET TO A SECOND CHARACTER SET
    11.
    发明申请
    TECHNIQUES FOR TRANSLITERATING INPUT TEXT FROM A FIRST CHARACTER SET TO A SECOND CHARACTER SET 有权
    将第一个字符转换为第二个字符集的输入文本的技术

    公开(公告)号:US20150088487A1

    公开(公告)日:2015-03-26

    申请号:US14381395

    申请日:2012-02-28

    Applicant: Google Inc.

    CPC classification number: G06F17/289 G06F17/21 G06F17/2863

    Abstract: Computer implemented techniques for performing transliteration of input text in a first character set to a second character set are disclosed. The techniques include receiving input text and determining a set of possible transliterations of the input text based on a plurality of mapping standards. Each mapping standard defines a mapping of characters in the first character set to characters in the second character set. The techniques further include determining a set of candidate words in the target language based on the possible transliterations and a text corpus. The techniques also include determining a likelihood score for each one of the candidate words based on a language model in the target language previously received words. The techniques also include providing one or more candidate words based on the likelihood scores and receiving a user selection indicating one of the candidate words.

    Abstract translation: 公开了用于对第一字符集中的输入文本进行音译的第二字符集的计算机实现技术。 这些技术包括基于多个映射标准接收输入文本和确定输入文本的一组可能的音译。 每个映射标准定义第一个字符集中的字符与第二个字符集中的字符的映射。 该技术还包括基于可能的音译和文本语料库来确定目标语言中的一组候选词。 所述技术还包括基于先前接收的目标语言中的语言模型来确定每个候选词的似然分数。 所述技术还包括基于似然分数提供一个或多个候选词,并接收指示候选词之一的用户选择。

    Customer support solution recommendation system

    公开(公告)号:US09779159B2

    公开(公告)日:2017-10-03

    申请号:US14456903

    申请日:2014-08-11

    Applicant: Google Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium and a method for automatically providing support solutions in response to user feedback items. The method comprises receiving user feedback items and corresponding support solutions. The method further comprises identifying, using clustering techniques, associations between the user feedback items and the corresponding support solutions. The method further comprises storing the identified associations as an items-solutions model that correlates the user feedback items with the corresponding support solutions. The method further comprises receiving a new user feedback item. The method further comprises automatically determining, using the items-solutions model, at least one support solution that corresponds to the new user feedback item. The method further comprises providing the at least one support solution in response to the received new user feedback item.

    EXTENSIBLE FRAMEWORK FOR EREADER TOOLS, INCLUDING NAMED ENTITY INFORMATION
    14.
    发明申请
    EXTENSIBLE FRAMEWORK FOR EREADER TOOLS, INCLUDING NAMED ENTITY INFORMATION 审中-公开
    用于EREADER工具的可扩展框架,包括有名实体信息

    公开(公告)号:US20150248380A1

    公开(公告)日:2015-09-03

    申请号:US14713787

    申请日:2015-05-15

    Applicant: Google Inc.

    Abstract: Information about named entities referenced in an electronic book (ebook) is provided to a client device. An ebook identifier identifying the ebook is received from the client device. A set of layers available for use with the ebook is determined. The layers in the set provide information associated with the ebook and a layer in the set provides information associated with named entities referenced in content of the ebook. A content range identifying a range of content of the ebook for which layer information is requested and an identification of one or more of the layers in the set for which layer information is requested is received from the client device. Layer information associated with the ebook content identified by the content range for the identified layers is transmitted to the client device. The transmitted layer information includes information associated with named entities referenced by ebook content.

    Abstract translation: 关于电子书(电子书)中引用的命名实体的信息被提供给客户端设备。 从客户端设备接收到识别电子书的电子书标识符。 确定可用于电子书的一组层。 集合中的层提供与电子书相关联的信息,并且集合中的层提供与电子书的内容中引用的命名实体相关联的信息。 从客户端装置接收内容范围,该内容范围标识要请求层信息的电子书的内容的范围,以及从所述客户端装置接收对所请求的层信息的集合中的一个或多个层的标识。 与由所识别的层的内容区域标识的电子书内容相关联的层信息被发送到客户端设备。 发送层信息包括与电子书内容引用的命名实体相关联的信息。

    CUSTOMER SUPPORT SOLUTION RECOMMENDATION SYSTEM
    15.
    发明申请
    CUSTOMER SUPPORT SOLUTION RECOMMENDATION SYSTEM 有权
    客户支持解决方案推荐系统

    公开(公告)号:US20140365461A1

    公开(公告)日:2014-12-11

    申请号:US14456903

    申请日:2014-08-11

    Applicant: Google Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium and a method for automatically providing support solutions in response to user feedback items. The method comprises receiving user feedback items and corresponding support solutions. The method further comprises identifying, using clustering techniques, associations between the user feedback items and the corresponding support solutions. The method further comprises storing the identified associations as an items-solutions model that correlates the user feedback items with the corresponding support solutions. The method further comprises receiving a new user feedback item. The method further comprises automatically determining, using the items-solutions model, at least one support solution that corresponds to the new user feedback item. The method further comprises providing the at least one support solution in response to the received new user feedback item.

    Abstract translation: 方法,系统和装置,包括在计算机可读存储介质上编码的计算机程序,以及响应于用户反馈项自动提供支持解决方案的方法。 该方法包括接收用户反馈项目和相应的支持解决方案。 该方法还包括使用聚类技术来识别用户反馈项目和相应的支持解决方案之间的关联。 该方法还包括将所识别的关联存储为将用户反馈项与相应的支持解相关联的项目解决方案模型。 该方法还包括接收新的用户反馈项目。 所述方法还包括使用所述项目解决方案模型来自动确定对应于所述新用户反馈项目的至少一个支持解决方案。 所述方法还包括响应于所接收的新用户反馈项提供所述至少一个支持解决方案。

    Customer support solution recommendation system
    16.
    发明授权
    Customer support solution recommendation system 有权
    客户支持解决方案推荐系统

    公开(公告)号:US08819013B2

    公开(公告)日:2014-08-26

    申请号:US13666811

    申请日:2012-11-01

    Applicant: Google Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium and a method for automatically providing support solutions in response to user feedback items. The method comprises receiving user feedback items and corresponding support solutions. The method further comprises identifying, using clustering techniques, associations between the user feedback items and the corresponding support solutions. The method further comprises storing the identified associations as an items-solutions model that correlates the user feedback items with the corresponding support solutions. The method further comprises receiving a new user feedback item. The method further comprises automatically determining, using the items-solutions model, at least one support solution that corresponds to the new user feedback item. The method further comprises providing the at least one support solution in response to the received new user feedback item.

    Abstract translation: 方法,系统和装置,包括在计算机可读存储介质上编码的计算机程序,以及响应于用户反馈项自动提供支持解决方案的方法。 该方法包括接收用户反馈项目和相应的支持解决方案。 该方法还包括使用聚类技术来识别用户反馈项目和相应的支持解决方案之间的关联。 该方法还包括将所识别的关联存储为将用户反馈项与相应的支持解相关联的项目解决方案模型。 该方法还包括接收新的用户反馈项目。 所述方法还包括使用所述项目解决方案模型来自动确定对应于所述新用户反馈项目的至少一个支持解决方案。 所述方法还包括响应于所接收的新用户反馈项提供所述至少一个支持解决方案。

    CUSTOMER SUPPORT SOLUTION RECOMMENDATION SYSTEM

    公开(公告)号:US20170364583A1

    公开(公告)日:2017-12-21

    申请号:US15693123

    申请日:2017-08-31

    Applicant: Google Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium and a method for automatically providing support solutions in response to user feedback items. The method comprises receiving user feedback items and corresponding support solutions. The method further comprises identifying, using clustering techniques, associations between the user feedback items and the corresponding support solutions. The method further comprises storing the identified associations as an items-solutions model that correlates the user feedback items with the corresponding support solutions. The method further comprises receiving a new user feedback item. The method further comprises automatically determining, using the items-solutions model, at least one support solution that corresponds to the new user feedback item. The method further comprises providing the at least one support solution in response to the received new user feedback item.

    SYSTEM AND METHOD FOR DETERMINING UNWANTED PHONE MESSAGES
    18.
    发明申请
    SYSTEM AND METHOD FOR DETERMINING UNWANTED PHONE MESSAGES 审中-公开
    用于确定无电话信息的系统和方法

    公开(公告)号:US20150302316A1

    公开(公告)日:2015-10-22

    申请号:US14258648

    申请日:2014-04-22

    Applicant: Google Inc.

    CPC classification number: G06N20/00 H04L51/12 H04M3/2281 H04M3/436

    Abstract: A computer-implemented method for generating a machine-learning model can include receiving, at a computing device having one or more processors, a plurality of reported phone numbers from telephone users, a plurality of posted phone numbers from one or more websites, and transcriptions of messages associated with a plurality of calling phone numbers. The machine-learning model is generated based on these various inputs and stored at the computing device. The model is configured to determine a probability that an unknown phone message is unwanted based on a phone number from which the unknown phone message originated.

    Abstract translation: 用于生成机器学习模型的计算机实现的方法可以包括在具有一个或多个处理器的计算设备处接收来自电话用户的多个报告的电话号码,来自一个或多个网站的多个已发布的电话号码以及转录 与多个呼叫电话号码相关联的消息。 机器学习模型基于这些各种输入生成并存储在计算设备中。 该模型被配置为基于来自未知电话消息的电话号码来确定未知电话消息是不需要的概率。

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