会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 21. 发明申请
    • SCREEN-ANALYSIS BASED DEVICE SECURITY
    • 基于屏幕分析的设备安全
    • WO2016205121A1
    • 2016-12-22
    • PCT/US2016/037210
    • 2016-06-13
    • GOOGLE INC.
    • SHARIFI, MatthewWANG, KaiPETROU, David
    • H04W12/06H04W12/08H04W12/12
    • G06N99/005G06F21/316G06F21/36H04L63/083H04L63/102H04W4/02H04W4/80H04W12/06H04W12/10H04W12/12
    • Systems and methods are provided for a content-based security for computing devices. An example method includes identifying content rendered by a mobile application, the content being rendered during a session, generating feature vectors from the content and determining that the feature vectors do not match a classification model. The method also includes providing, in response to the determination that the feature vectors do not match the classification model, a challenge configured to authenticate a user of the mobile device. Another example method includes determining a computing device is located at a trusted location, capturing information from a session, the information coming from content rendered by a mobile application during the session, generating feature vectors for the session, and repeating this until a training criteria is met. The method also includes training a classification model using the feature vectors and authenticating a user of the device using the trained classification model.
    • 为计算设备的基于内容的安全提供了系统和方法。 示例性方法包括识别由移动应用呈现的内容,在会话期间呈现的内容,从内容生成特征向量并且确定特征向量与分类模型不匹配。 所述方法还包括响应于所述特征向量与所述分类模型不匹配的确定,提供被配置为认证所述移动设备的用户的挑战。 另一示例性方法包括确定计算设备位于可信位置,从会话中捕获信息,来自在会话期间由移动应用呈现的内容的信息,生成会话的特征向量,并重复此操作,直到训练标准为 满足。 该方法还包括使用特征向量来训练分类模型,并使用经过训练的分类模型来验证该设备的用户。
    • 23. 发明申请
    • FACILITATING USE OF IMAGES IN SEARCH QUERIES
    • 便于在搜索查询中使用图像
    • WO2017184207A1
    • 2017-10-26
    • PCT/US2016/064626
    • 2016-12-02
    • GOOGLE INC.
    • SHARIFI, MatthewPETROU, DavidSHARMA, Abhanshu
    • G06F17/30
    • Methods, systems, and apparatus for receiving a query image, receiving one or more entities that are associated with the query image, identifying, for one or more of the entities, one or more candidate search queries that are pre-associated with the one or more entities, generating a respective relevance score for each of the candidate search queries, selecting, as a representative search query for the query image, a particular candidate search query based at least on the generated respective relevance scores and providing the representative search query for output in response to receiving the query image. By allowing a search query to take the form of an image, a user interface can allow search queries to be entered without the need for text entry using a keyboard or another text entry mechanism such as speech recognition.
    • 用于接收查询图像的方法,系统和设备,接收与查询图像相关联的一个或多个实体,为一个或多个实体标识一个或多个候选搜索查询 与所述一个或多个实体预先关联,为每个所述候选搜索查询生成相应的相关性分数,至少基于所生成的各个相关性分数,选择特定候选搜索查询作为所述查询图像的代表性搜索查询 以及响应于接收查询图像而提供代表性搜索查询以用于输出。 通过允许搜索查询采用图像的形式,用户界面可以允许输入搜索查询,而不需要使用键盘或诸如语音识别之类的其他文本输入机制进行文本输入。
    • 24. 发明申请
    • SIMULATED HYPERLINKS ON A MOBILE DEVICE
    • 在移动设备上模拟超级链接
    • WO2017087639A1
    • 2017-05-26
    • PCT/US2016/062475
    • 2016-11-17
    • GOOGLE INC.
    • SHARIFI, MatthewPETROU, David
    • G06F9/48G06F9/44G06F3/0482G06F17/30
    • G06F17/2235G06F3/0482G06F3/04842G06F9/453G06F9/4843
    • Systems and methods simulate a hyperlink in regular content displayed on a screen. An example method can include generating, responsive to detecting a simulated hyperlink indication, a centered selection from content displayed on a display of a computing device, providing the centered selection to a simulated hyperlink model that predicts an operation given the centered selection, and initiating the operation using an intent associated with a mobile application. The simulated hyperlink model may also provide, from the centered selection, an intelligent selection used the intent's parameter. Another method includes identifying documents having a hyperlink whitelisted websites, generating positive training examples for a simulated hyperlink model using the documents, each positive training example having a centered selection, a website, and a mobile application mapped to the website, and training the simulated hyperlink model, using the positive training examples, to predict an operation for the mobile application given the centered selection.
    • 系统和方法模拟屏幕上显示的常规内容中的超链接。 示例方法可以包括:响应于检测到模拟超链接指示,生成来自在计算设备的显示器上显示的内容的居中选择;向模拟超链接模型提供居中选择,该模拟预测给定中心选择的操作;以及启动 使用与移动应用程序相关的意图进行操作。 模拟的超链接模型还可以从居中选择提供使用意图参数的智能选择。 另一种方法包括识别具有超链接白名单网站的文档,使用文档为模拟超链接模型生成正训练示例,每个正训练示例具有居中选择,网站和映射到网站的移动应用,并且训练模拟超链接 模型,使用正面训练示例,预测移动应用程序在中心选择下的操作。

    • 25. 发明申请
    • ACTION SUGGESTIONS FOR USER-SELECTED CONTENT
    • 用户选择内容的操作建议
    • WO2017059388A1
    • 2017-04-06
    • PCT/US2016/055055
    • 2016-09-30
    • GOOGLE INC.
    • SHARIFI, MatthewRAMAGE, DanielPETROU, David
    • G06F3/0482G06F17/30G06F9/48G06F9/54
    • G06N5/02G06F3/0481G06F3/0482G06F3/0484G06F3/04895G06F9/453G06F17/30424
    • Systems and methods are provided for suggesting actions for selected text based on content displayed on a mobile device. An example method can include converting a selection made via a display device into a query, providing the query to an action suggestion model that is trained to predict an action given a query, each action being associated with a mobile application, receiving one or more predicted actions, and initiating display of the one or more predicted actions on the display device. Another example method can include identifying, from search records, queries where a website is highly ranked, the website being one of a plurality of websites in a mapping of websites to mobile applications. The method can also include generating positive training examples for an action suggestion model from the identified queries, and training the action suggestion model using the positive training examples.
    • 系统和方法被提供用于基于在移动设备上显示的内容来建议针对所选文本的动作。 示例性方法可以包括将通过显示设备进行的选择转换成查询,将查询提供给被训练来预测给定查询的动作的动作建议模型,每个动作与移动应用相关联,接收一个或多个预测的 动作,并且在显示装置上开始显示一个或多个预测动作。 另一个示例性方法可以包括从搜索记录中识别网站被高度排名的查询,该网站是将网站映射到移动应用的多个网站之一。 该方法还可以包括从所识别的查询中产生针对动作建议模型的肯定训练示例,以及使用积极训练示例来训练动作建议模型。
    • 27. 发明申请
    • IMPROVED DRAG-AND-DROP OPERATION ON A MOBILE DEVICE
    • 改进移动设备上的DRAG-AND-DROP操作
    • WO2016064857A1
    • 2016-04-28
    • PCT/US2015/056434
    • 2015-10-20
    • GOOGLE INC.
    • SHARIFI, MatthewPETROU, David
    • G06F3/0486G06F9/54G06F3/16
    • G06F3/0486G06F3/04842G06F3/0488G06F3/04883G06F3/167G06F9/543G06F2203/04803
    • Implementations provide an improved drag-and-drop operation on a mobile device. For example, a method includes identifying a drag area in a user interface of a first mobile application in response to a drag command, identifying an entity from a data store based on recognition performed on content in the drag area, receiving a drop location associated with a second mobile application, determining an action to perform in the second mobile application based on the drop location, and performing the action in the second mobile action using the entity. Another method may include receiving a selection of a smart copy control for a text input control in a first mobile application, receiving a selected area of a display generated by a second mobile application, identifying an entity in the selected area, automatically navigating back to the text input control, and pasting a description of the entity in the text input control.
    • 实现方式可以在移动设备上提供改进的拖放操作。 例如,一种方法包括响应于拖曳命令识别第一移动应用的用户界面中的拖曳区域,基于对拖曳区域中的内容执行的识别从数据存储区识别实体,接收与 第二移动应用,基于所述丢弃位置确定在所述第二移动应用中执行的动作,以及使用所述实体在所述第二移动动作中执行所述动作。 另一种方法可以包括接收对第一移动应用中的文本输入控制的智能复制控制的选择,接收由第二移动应用生成的显示的选定区域,识别所选区域中的实体,自动导航回到 文本输入控件,并在文本输入控件中粘贴实体的描述。