Caching of content page layers
    33.
    发明授权
    Caching of content page layers 有权
    缓存内容页面层

    公开(公告)号:US09563929B1

    公开(公告)日:2017-02-07

    申请号:US14285557

    申请日:2014-05-22

    CPC classification number: G06T1/20 G06F17/30902 G06T1/60

    Abstract: Server systems are disclosed that receive content request and respond with hardware-independent graphics commands instead of, or in addition to, unprocessed content items. Some server systems may act as intermediaries between user devices and content sources. The server systems can obtain content pages from content sources, process the content pages (e.g., using a headless browser), and provide hardware-independent graphics commands (e.g., vector graphics commands, that do not require specialized graphics hardware for execution) to user devices in response to requests for content. The hardware-independent graphics commands can be executed by client browsers to generate a representation of the content page that is the same or substantially the same as the representation that would have been generated by processing the content pages locally. A user device in receipt of such hardware-independent graphics commands can execute them without performing traditional content page processing, thereby improving user-perceived page load times.

    Abstract translation: 公开了服务器系统,其接收内容请求并且响应于与硬件无关的图形命令,而不是未处理的内容项目,或除了未处理的内容项目之外。 一些服务器系统可以充当用户设备和内容源之间的中介。 服务器系统可以从内容源获取内容页面,处理内容页面(例如,使用无头浏览器),并向用户提供与硬件无关的图形命令(例如,矢量图形命令,不需要专门的图形硬件来执行) 响应于内容请求的设备。 硬件无关的图形命令可由客户端浏览器执行,以生成内容页面的表示,该内容页面与通过本地处理内容页面而生成的表示相同或基本相同。 接收到这种不依赖硬件的图形命令的用户设备可以执行它们而不执行传统的内容页面处理,从而提高用户感知的页面加载时间。

    Content browser system using graphics commands and native text intelligence
    34.
    发明授权
    Content browser system using graphics commands and native text intelligence 有权
    内容浏览器系统使用图形命令和本地文本智能

    公开(公告)号:US09454515B1

    公开(公告)日:2016-09-27

    申请号:US14306981

    申请日:2014-06-17

    Inventor: Saral Jain

    Abstract: Server systems are disclosed that receive content requests and respond with hardware-independent graphics commands instead of, or in addition to, unprocessed content items. The server systems can also generate text information regarding text in the requested content items, and provide the text information to user devices so that the user devices can have knowledge of the text in the content item. The user device can use the text information to handle user interactions with the content item, including copy, paste and search commands and other similar commands. Accordingly, the hardware-independent graphics commands-based representation may provide text interactivity and effects not otherwise available to content representations based on graphics commands or images of content.

    Abstract translation: 披露了服务器系统,其接收内容请求并且以与硬件无关的图形命令进行响应,而不是或未经处理的内容项目。 服务器系统还可以生成关于请求的内容项目中的文本的文本信息,并且向用户设备提供文本信息,使得用户设备可以知道内容项目中的文本。 用户设备可以使用文本信息来处理与内容项目的用户交互,包括复制,粘贴和搜索命令以及其他类似的命令。 因此,基于硬件的独立于图形命令的表示可以提供基于图形命令或内容图像的内容表示不可用的文本交互性和效果。

    BROWSER-BASED SELECTION OF CONTENT REQUEST MODES
    35.
    发明申请
    BROWSER-BASED SELECTION OF CONTENT REQUEST MODES 审中-公开
    基于浏览器的内容请求模式的选择

    公开(公告)号:US20150154506A1

    公开(公告)日:2015-06-04

    申请号:US14094537

    申请日:2013-12-02

    CPC classification number: G06N99/005 H04L67/2819 H04L67/2833 H04L67/42

    Abstract: Features are disclosed for generating request decision models for use by client computing devices to determine request paths or modes for content requests. The request modes may correspond to direct requests (e.g., requests made from a client device directly to a content server hosting requested content) or to indirect requests (e.g., requests made from the client device to the content server via an intermediary system). The request decision models may be trained by a machine learning algorithm using performance data (e.g., prior content load times), contextual information (e.g., state information associated with devices at times content requests are executed), and the like.

    Abstract translation: 公开了用于生成请求决策模型以供客户端计算设备使用以确定内容请求的请求路径或模式的特征。 请求模式可以对应于直接请求(例如,从客户端设备直接发送到托管所请求的内容的内容服务器的请求)或间接请求(例如,经由中间系统从客户端设备到内容服务器的请求)。 可以通过使用性能数据(例如,先前的内容加载时间)的机器学习算法来训练请求决策模型,上下文信息(例如,与执行内容请求的设备相关联的状态信息)等。

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