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    • 1. 发明申请
    • SUPPORTING INTELLIGENT USER INTERFACE INTERACTIONS
    • 支持智能用户界面交互
    • US20120166522A1
    • 2012-06-28
    • US12978661
    • 2010-12-27
    • Matthew Bret MacLaurinGeorge MooreOscar E. Murillo
    • Matthew Bret MacLaurinGeorge MooreOscar E. Murillo
    • G06F15/16
    • G06F9/4451G06F3/048G06F9/453
    • Concepts and technologies are described herein for supporting intelligent user interface interactions. Commands accepted by applications can be published or determined. Before or during access of the application, the commands can be presented at clients to indicate commands available for interfacing with the application. The commands can be presented with information indicating how the user interface and/or input device of the client may be used to execute the available commands. Input received from the client can be compared to the available commands to determine if the input matches an available command. Contextual data relating to the client, preferences, and/or other data also can be retrieved and analyzed to determine the intent of the client. The intent can be used to identify an intended command and to modify the input to match the intended command. The modified input can be transmitted to the application.
    • 这里描述了支持智能用户界面交互的概念和技术。 应用程序接受的命令可以发布或确定。 在应用程序访问之前或期间,可以在客户端处呈现命令以指示可用于与应用程序进行接口的命令。 这些命令可以呈现指示如何使用客户端的用户界面和/或输入设备来执行可用命令的信息。 可以将从客户端接收的输入与可用命令进行比较,以确定输入是否匹配可用命令。 可以检索和分析与客户端,偏好和/或其他数据相关的上下文数据以确定客户端的意图。 该意图可用于识别预期命令,并修改输入以匹配预期命令。 修改的输入可以传输到应用程序。
    • 2. 发明申请
    • DISCOVERY OF REMOTELY EXECUTED APPLICATIONS
    • 发现远程执行应用程序
    • US20120166411A1
    • 2012-06-28
    • US12978662
    • 2010-12-27
    • Matthew Bret MacLaurinGeorge MooreOscar E. MurilloBenjamin William VanikDaniel Edward Walther, II
    • Matthew Bret MacLaurinGeorge MooreOscar E. MurilloBenjamin William VanikDaniel Edward Walther, II
    • G06F17/30
    • G06F16/951
    • A search engine discovers and indexes applications in a search index and receives queries from devices. The search engine is configured to obtain contextual data describing context associated with the devices and/or social networking data associated with one or more users of the devices. Based upon the contextual data and/or the social networking data, the search engine modifies the query and executes the query to identify applications. The search engine generates search results corresponding to the identified applications. The search engine also is configured to generate advertising relevant to the modified query, and to rank the search results in accordance with the query, the contextual data, and/or the social networking data. The ranked search results and the advertising are presented to the client as search results and/or in a web store format. Activity of the client and the search engine can be tracked and reported to authorized entities.
    • 搜索引擎在搜索索引中发现和索引应用程序,并从设备接收查询。 搜索引擎被配置为获得描述与设备的一个或多个用户相关联的设备和/或社交网络数据相关联的上下文的上下文数据。 基于上下文数据和/或社交网络数据,搜索引擎修改查询并执行查询以识别应用。 搜索引擎生成与识别的应用相对应的搜索结果。 搜索引擎还被配置为生成与修改的查询相关的广告,并且根据查询,上下文数据和/或社交网络数据对搜索结果进行排名。 排名的搜索结果和广告作为搜索结果和/或网络商店格式呈现给客户端。 可以跟踪客户端和搜索引擎的活动并向授权实体报告。
    • 3. 发明授权
    • Utilizing affinity groups to allocate data items and computing resources
    • 利用亲和力组来分配数据项和计算资源
    • US08577892B2
    • 2013-11-05
    • US12479525
    • 2009-06-05
    • Remy PairaultZhe YangSriram KrishnanGeorge Moore
    • Remy PairaultZhe YangSriram KrishnanGeorge Moore
    • G06F17/30
    • G06F17/3087
    • Systems and methods for utilizing affinity groups to allocate data items and computing resources are disclosed. Upon receipt of a user preference indicating an affinity group, a token associated with that affinity group may be stored in a database. The affinity group may be associated with a geographic region or a number of data centers. Data items and computing resources may be associated with the affinity group. These data items and computing resources may be allocated to a geographic region or data center based on their association with the affinity group. These data items and computing resources may also be reallocated based on efficiency analyses or user preferences. In this way, data items and computing resources may be efficiently allocated with lower user effort.
    • 公开了利用亲和组来分配数据项和计算资源的系统和方法。 在接收到指示亲和力组的用户偏好时,与该关联组相关联的令牌可以存储在数据库中。 亲和力组可以与地理区域或多个数据中心相关联。 数据项和计算资源可以与亲和度组相关联。 这些数据项和计算资源可以基于它们与关联组的关联来分配给地理区域或数据中心。 这些数据项和计算资源也可以基于效率分析或用户偏好来重新分配。 以这种方式,可以以更低的用户努力有效地分配数据项和计算资源。