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公开(公告)号：US20130110872A1
公开(公告)日：2013-05-02
申请号：US13284853
申请日：2011-10-28
申请人： Roger Barga , Alexander Sasha Stojanovic , Henricus Johannes Maria Meijer , Carl Carter-Schwendler , Michael Isard , Savas Parastatidis
发明人： Roger Barga , Alexander Sasha Stojanovic , Henricus Johannes Maria Meijer , Carl Carter-Schwendler , Michael Isard , Savas Parastatidis
IPC分类号： G06F17/30
CPC分类号： G06F17/30389
摘要： Techniques for defocusing queries over big datasets and dynamic datasets are provided to broaden search results and incorporate all potentially relevant data and avoid overly narrowing queries. An analytic component can receive queries directed at one region of a dataset and analyze the queries to generate inferences about the queries. The queries can then be defocused by a defocusing component and incorporate a larger dataset than originally searched to broaden the queries. The larger dataset can incorporate all, or a part of the original dataset and can also be disparate from the original dataset. Clusters of queries can also be merged and unified to deal with ‘local minima’ issues and broaden the understanding of the dataset. In other embodiments, dynamic data can be monitored and changes tracked, to ensure that all portions of the dataset are being searched by the queries.
摘要翻译： 提供了通过大型数据集和动态数据集散列查询的技术，以扩大搜索结果并整合所有潜在相关数据，避免过度缩小查询。 分析组件可以接收针对数据集的一个区域的查询，并分析查询以生成关于查询的推断。 然后，这些查询可以由散焦组件散焦，并且包含比原始搜索的更大的数据集来扩展查询。 较大的数据集可以包含原始数据集的全部或一部分，也可以与原始数据集不同。 查询集群也可以合并和统一，以处理“本地最小化”问题，并扩大对数据集的理解。 在其他实施例中，可以监视动态数据并跟踪变化，以确保数据集的所有部分都被查询搜索。
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公开(公告)号：US08452792B2
公开(公告)日：2013-05-28
申请号：US13284853
申请日：2011-10-28
申请人： Roger Barga , Alexander Sasha Stojanovic , Henricus Johannes Maria Meijer , Carl Carter-Schwendler , Michael Isard , Savas Parastatidis
发明人： Roger Barga , Alexander Sasha Stojanovic , Henricus Johannes Maria Meijer , Carl Carter-Schwendler , Michael Isard , Savas Parastatidis
IPC分类号： G06F17/30
CPC分类号： G06F17/30389
摘要： Techniques for defocusing queries over big datasets and dynamic datasets are provided to broaden search results and incorporate all potentially relevant data and avoid overly narrowing queries. An analytic component can receive queries directed at one region of a dataset and analyze the queries to generate inferences about the queries. The queries can then be defocused by a defocusing component and incorporate a larger dataset than originally searched to broaden the queries. The larger dataset can incorporate all, or a part of the original dataset and can also be disparate from the original dataset. Clusters of queries can also be merged and unified to deal with ‘local minima’ issues and broaden the understanding of the dataset. In other embodiments, dynamic data can be monitored and changes tracked, to ensure that all portions of the dataset are being searched by the queries.
摘要翻译： 提供了通过大型数据集和动态数据集散列查询的技术，以扩大搜索结果并整合所有潜在相关数据，避免过度缩小查询。 分析组件可以接收针对数据集的一个区域的查询，并分析查询以生成关于查询的推断。 然后，这些查询可以由散焦组件散焦，并且包含比原始搜索的更大的数据集来扩展查询。 较大的数据集可以包含原始数据集的全部或一部分，也可以与原始数据集不同。 查询集群也可以合并和统一，以处理“本地最小化”问题，并扩大对数据集的理解。 在其他实施例中，可以监视动态数据并跟踪变化，以确保数据集的所有部分都被查询搜索。
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公开(公告)号：US20130159228A1
公开(公告)日：2013-06-20
申请号：US13329116
申请日：2011-12-16
申请人： Henricus Johannes Maria Meijer , Roger Barga , Carl Carter-Schwendler , Alexander Sasha Stojanovic
发明人： Henricus Johannes Maria Meijer , Roger Barga , Carl Carter-Schwendler , Alexander Sasha Stojanovic
IPC分类号： G06F15/18
CPC分类号： G06F21/316 , G06F8/38 , G06F9/451 , G06N20/00
摘要： The subject disclosure generally relates to dynamic user experience adaptation and services provisioning. A user experience component can provide a user experience (UX) to a user. The UX can include, but is not limited to, an operating system, an application (e.g., word processor, electronic mail, computer aided drafting, video game, etc.), a user interface, and so forth. A monitoring component can monitor feedback generated in association with interaction with the user experience by the user. An update component can analyze the feedback, and update a user model associated with the user based at least in part on the analysis, and an adaptation component can modify the user experience based at least in part the user model.
摘要翻译： 主题公开通常涉及动态用户体验适应和服务提供。 用户体验组件可以向用户提供用户体验（UX）。 UX可以包括但不限于操作系统，应用（例如，文字处理器，电子邮件，计算机辅助绘图，视频游戏等），用户界面等等。 监视组件可以监视与用户与用户体验的交互相关联产生的反馈。 更新组件可以至少部分地基于分析来分析反馈并更新与用户相关联的用户模型，并且适配组件可以至少部分地基于用户模型修改用户体验。
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4.发明申请公开(公告)号：US20130117272A1
公开(公告)日：2013-05-09
申请号：US13288950
申请日：2011-11-03
申请人： Roger Barga , Alexander Sasha Stojanovic , Henricus Johannes Maria Meijer , Carl Carter-Schwendler , Michael Isard
发明人： Roger Barga , Alexander Sasha Stojanovic , Henricus Johannes Maria Meijer , Carl Carter-Schwendler , Michael Isard
IPC分类号： G06F17/30
CPC分类号： G06F16/2477
摘要： Data management techniques are provided for handling of big data. A data management process can account for attributes of data by analyzing or interpreting the data, assigning intervals to the attributes based on the data, and effectuating policies, based on the attributes and intervals, that facilitate data management. In addition, the data management process can determine relations among data in a data collection and generate and store approximate results concerning the data based on the attributes, intervals, and the policies.
摘要翻译： 数据管理技术用于处理大数据。 数据管理过程可以通过分析或解释数据，基于数据为属性分配间隔，并且基于有助于数据管理的属性和间隔来实现策略来解释数据的属性。 此外，数据管理过程可以确定数据收集中的数据之间的关系，并根据属性，间隔和策略生成并存储与数据相关的近似结果。
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公开(公告)号：US20130117257A1
公开(公告)日：2013-05-09
申请号：US13288947
申请日：2011-11-03
申请人： Henricus Johannes Maria Meijer , Michael Isard , Alexander Sasha Stojanovic , Carl Carter-Schwendler , Stephen Harris Toub
发明人： Henricus Johannes Maria Meijer , Michael Isard , Alexander Sasha Stojanovic , Carl Carter-Schwendler , Stephen Harris Toub
IPC分类号： G06F17/30
CPC分类号： G06F16/2462 , G06F16/2453
摘要： Techniques for efficiently performing queries are provided. A search component can receive a request for information based on data, and a management component can determine a degree of accuracy requested for the information. In turn, the search component can render the information based on the degree of accuracy requested. In an aspect, the search generates a query configured to determine the first information, and the management component instructs the search component to perform the query to a level of completion less than full completion when the degree of accuracy requested is below a predetermined threshold to cause the search component to render an estimation of the first information. In another aspect, a tracking component can track information associated with multiple query requests and an analysis determine and employ a related aspect of the tracked information to a new query request to determine an answer for a the new query request.
摘要翻译： 提供了有效执行查询的技术。 搜索组件可以基于数据接收对信息的请求，并且管理组件可以确定为该信息请求的准确度。 反过来，搜索组件可以基于请求的准确度来呈现信息。 在一个方面，搜索生成被配置为确定第一信息的查询，并且当所请求的准确度低于预定阈值时，管理组件指令搜索组件执行查询到小于完全完成的级别，以导致 搜索组件来呈现第一信息的估计。 在另一方面，跟踪组件可以跟踪与多个查询请求相关联的信息，并且分析确定并使用跟踪信息的相关方面到新的查询请求，以确定新查询请求的答案。
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公开(公告)号：US20130110853A1
公开(公告)日：2013-05-02
申请号：US13286152
申请日：2011-10-31
申请人： Burton Smith , Henricus Johannes Maria Meijer , David B. Wecker , Alexander Sasha Stojanovic , Michael Isard , Savas Parastatidis
发明人： Burton Smith , Henricus Johannes Maria Meijer , David B. Wecker , Alexander Sasha Stojanovic , Michael Isard , Savas Parastatidis
IPC分类号： G06F17/30
CPC分类号： G06F16/248 , G06F16/2452 , G06F16/258
摘要： The subject disclosure relates to using structured query language constructs in non-structured query language domains. For example, through mathematical and logical transformation of concepts from a key, value pair domain associated with structured query language data structures to graphical-related data structures, the value originating in the structured query language domain can be modified for use in non-structured query language domains. This can open up options in analytics and can solve some of the problems associated with liner algebra.
摘要翻译： 本发明涉及在非结构化查询语言域中使用结构化查询语言结构。 例如，通过从结构化查询语言数据结构与图形相关数据结构相关联的密钥，值对域的概念的数学和逻辑转换，可以修改源自结构化查询语言域的值以用于非结构化查询 语言域。 这可以打开分析中的选项，并可以解决与线代数相关的一些问题。
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公开(公告)号：US08150789B2
公开(公告)日：2012-04-03
申请号：US12345060
申请日：2008-12-29
申请人： Min Wei , Alexander Sasha Stojanovic , David Lao
发明人： Min Wei , Alexander Sasha Stojanovic , David Lao
CPC分类号： G06F17/11
摘要： A model, which defines a mathematical problem, and multiple directives may be received. Each of the multiple directives may be mapped to a respective linear solver instance. The linear solver instances may be launched to execute in parallel. Each of the linear solver instances may use either a primal or a dual algorithm and may further use double arithmetic, exact arithmetic, or hybrid arithmetic, as specified by corresponding ones of the multiple directives. A linear solver instance that uses hybrid arithmetic may start by using double arithmetic and may use exact arithmetic after experiencing a numerical difficulty. After the numerical difficulty is resolved, the linear solver instance that uses hybrid arithmetic may restart and continue to solve the mathematical problem using double arithmetic. After one of the linear solver instances finds an optimal solution, others of the linear solver instances may be stopped and a report may be provided.
摘要翻译： 可以接收定义数学问题的模型和多个指令。 多个伪指令中的每一个可以被映射到相应的线性求解器实例。 可以启动线性求解器实例并行执行。 每个线性求解器实例可以使用原始算法或双重算法，并且可以进一步使用由多个指令中的相应指令指定的双运算，精确算术或混合运算。 使用混合算术的线性求解器实例可以通过使用双运算来开始，并且可能在遇到数值难题之后使用精确算术。 数值难题解决后，使用混合算法的线性求解器实例可以重新启动，并继续使用双重算法解决数学问题。 在线性求解器实例中的一个找到最优解之后，可以停止线性求解器实例中的其他实例，并且可以提供报告。
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公开(公告)号：US20100169257A1
公开(公告)日：2010-07-01
申请号：US12345060
申请日：2008-12-29
申请人： Min Wei , Alexander Sasha Stojanovic , David Lao
发明人： Min Wei , Alexander Sasha Stojanovic , David Lao
CPC分类号： G06F17/11
摘要： A model, which defines a mathematical problem, and multiple directives may be received. Each of the multiple directives may be mapped to a respective linear solver instance. The linear solver instances may be launched to execute in parallel. Each of the linear solver instances may use either a primal or a dual algorithm and may further use double arithmetic, exact arithmetic, or hybrid arithmetic, as specified by corresponding ones of the multiple directives. A linear solver instance that uses hybrid arithmetic may start by using double arithmetic and may use exact arithmetic after experiencing a numerical difficulty. After the numerical difficulty is resolved, the linear solver instance that uses hybrid arithmetic may restart and continue to solve the mathematical problem using double arithmetic. After one of the linear solver instances finds an optimal solution, others of the linear solver instances may be stopped and a report may be provided.
摘要翻译： 可以接收定义数学问题的模型和多个指令。 多个伪指令中的每一个可以被映射到相应的线性求解器实例。 可以启动线性求解器实例并行执行。 每个线性求解器实例可以使用原始算法或双重算法，并且可以进一步使用由多个指令中的相应指令指定的双运算，精确算术或混合运算。 使用混合算术的线性求解器实例可以通过使用双运算来开始，并且可能在遇到数值难题之后使用精确算术。 数值难题解决后，使用混合算法的线性求解器实例可以重新启动，并继续使用双重算法解决数学问题。 在线性求解器实例中的一个找到最优解之后，可以停止线性求解器实例中的其他实例，并且可以提供报告。
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公开(公告)号：US20100161289A1
公开(公告)日：2010-06-24
申请号：US12338159
申请日：2008-12-18
摘要： A framework may be provided for facilitating adoption of mathematical and logical solvers. A model, representing a problem, may be defined. The model may be defined: via a series of statements in a type safe common-language-specification compliant modeling language; via an intermediate format; or via a series of calls to a standardized application program interface. The framework may translate the defined model to an intermediate format, which many solvers may understand. The framework may provide a number of solver-related services including, but not limited to, services for creating a model, analyzing a model, selecting a well-suited solver based on analysis of a model, decomposing a model into multiple sub-models and providing the multiple sub-models to multiple solvers as multiple parallel threads, data binding, simulation, and post optimality analysis.
摘要翻译： 可以提供框架以便于采用数学和逻辑解算器。 可以定义代表问题的模型。 该模型可以被定义：通过一系列语言的类型安全的通用语言规范兼容的建模语言; 通过中间格式; 或通过一系列对标准化应用程序接口的调用。 框架可以将定义的模型转换为中间格式，许多解算器可以理解。 该框架可以提供许多解算器相关服务，包括但不限于用于创建模型的服务，分析模型，基于模型分析选择合适的求解器，将模型分解为多个子模型，以及 将多个子模型提供给多个解算器作为多个并行线程，数据绑定，模拟和后期最优分析。
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公开(公告)号：US20100169318A1
公开(公告)日：2010-07-01
申请号：US12345714
申请日：2008-12-30
IPC分类号： G06F17/30
CPC分类号： G06F16/957
摘要： A user's experience with internet content may be given semantic meaning based upon extracting features of the content and creating kind classifications from the features. Kind classifications may be used to enrich a user's experience with internet content by providing meaningful navigation and discovery of information. As provided herein, a data stream (e.g., HTML, audio, video, unstructured data, etc.) is received, and features (e.g., text, phrases, titles, paragraphs, image data, etc.) may be extracted from the data stream. Kind classifications may be created based upon the extracted features. For example, a shirt image kind classification may be created based upon a button image feature, a collar image feature, and a sleeve image feature. The user's experience may be enriched by a presentation of actions allowing the user to view similar shirts, purchase the shirt, and/or discover other information relating to the shirt, for example.
摘要翻译： 基于提取内容的特征并从特征创建种类分类，用户对因特网内容的体验可以被赋予语义意义。 通过提供有意义的导航和信息发现，可以使用种类分类来丰富用户的互联网内容体验。 如本文所提供的，接收数据流（例如，HTML，音频，视频，非结构化数据等），并且可以从数据中提取特征（例如，文本，短语，标题，段落，图像数据等） 流。 可以基于提取的特征来创建种类分类。 例如，可以基于按钮图像特征，衣领图像特征和袖子图像特征来创建衬衫图像种类分类。 例如，用户的体验可以通过允许用户查看类似的衬衫，购买衬衫和/或发现与衬衫相关的其他信息的动作的呈现来丰富。
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