公开(公告)号：US20070027741A1

公开(公告)日：2007-02-01

申请号：US11191776

申请日：2005-07-27

申请人： Daniel Gruhl ,  Ramanathan Guha ,  Jasmine Novak ,  Shanmugasundaram Ravikumar ,  Andrew Tomkins

发明人： Daniel Gruhl ,  Ramanathan Guha ,  Jasmine Novak ,  Shanmugasundaram Ravikumar ,  Andrew Tomkins

IPC分类号： G07G1/00

CPC分类号： G06Q30/02 ,  G06Q30/0202

摘要： A sales prediction system predicts sales from online public discussions. The system utilizes manually or automatically formulated predicates to capture subsets of postings in online public discussions. The system predicts spikes in sales rank based on online chatter. The system comprises automated algorithms that predict spikes in sales rank given a time series of counts of online discussions such as blog postings. The system utilizes a stateless model of customer behavior based on a series of states of excitation that are increasingly likely to lead to a purchase decision. The stateless model of customer behavior yields a predictor of sales rank spikes that is significantly more accurate than conventional techniques operating on sales rank data alone.

摘要翻译： 销售预测系统预测在线公众讨论的销售。 系统利用手动或自动制定的谓词来捕获在线公开讨论中的帖子。 该系统基于在线聊天预测销售额的高峰。 该系统包括自动算法，用于预测在线讨论的时间序列（如博客帖子）的销售排名。 该系统基于一系列越来越有可能导致购买决定的激励状态，利用客户行为的无状态模型。 客户行为的无状态模型产生了销售排名尖峰的预测指标，这比传统的技术仅针对销售排名数据进行操作。

公开(公告)号：US20060282411A1

公开(公告)日：2006-12-14

申请号：US11151056

申请日：2005-06-13

申请人： Ronald Fagin ,  Ramanathan Guha ,  Phokion Kolaitis ,  Jasmine Novak ,  Shanmugasundaram Ravikumar ,  Dandapani Sivakumar ,  Andrew Tomkins

发明人： Ronald Fagin ,  Ramanathan Guha ,  Phokion Kolaitis ,  Jasmine Novak ,  Shanmugasundaram Ravikumar ,  Dandapani Sivakumar ,  Andrew Tomkins

IPC分类号： G06F17/30

CPC分类号： G06F17/30592 ,  Y10S707/99933

摘要： A multi-structural query system performs a high-level multi-dimensional query on a multi-structural database. The query system enables a user to navigate a search by adding restrictions incrementally. The query system uses a schema to discover structure in a multi-structural database. The query system leaves a choice of nodes to return in response to a query as a constrained set of choices available to the algorithm. The query system further casts the selection of a set of nodes as an optimization. The query system uses pairwise-disjoint collections to capture a concise set of highlights of a data set within the allowed schema. The query system further comprises efficient algorithms that yield approximately optimal solutions for several classes of objective functions.

公开(公告)号：US20070283290A1

公开(公告)日：2007-12-06

申请号：US11437415

申请日：2006-05-19

申请人： Micah Joel Dubinko ,  Shanmugasundaram Ravikumar ,  Joseph Andrew Magnani ,  Jasmine Novak ,  Prabhakar Raghavan ,  Andrew Tomkins

发明人： Micah Joel Dubinko ,  Shanmugasundaram Ravikumar ,  Joseph Andrew Magnani ,  Jasmine Novak ,  Prabhakar Raghavan ,  Andrew Tomkins

IPC分类号： G06F17/30

CPC分类号： G06F17/30994 ,  G06F17/30997 ,  Y10S707/99937

摘要： An improved system and method for selecting and visualizing object metadata evolving over time is provided. An application may generate a visualization depicting the temporal evolution of metadata describing objects in an object store over a plurality of time intervals. The application may switch between a visualization of object metadata flowing like a river or cascading like a waterfall over time. A ranked list of metadata items may be determined for some pre-selected intervals during a pre-processing step. Then at runtime when a request may be received for providing a ranked list of metadata items for a query interval, a combination of time intervals from the pre-selected time intervals may be determined that cover the query time interval, and the ranked lists of metadata items for each time interval in the combination of time intervals that cover the query time interval may be aggregated and output for visualization.

摘要翻译： 提供了一种改进的系统和方法，用于随着时间的推移来选择和可视化对象元数据。 应用可以生成描绘在多个时间间隔中描述对象存储中的对象的元数据的时间演变的可视化。 应用程序可以在像河流一样流动的对象元数据的可视化或瀑布之间随着时间的流逝而进行切换。 可以在预处理步骤期间为某些预选间隔确定元数据项目的排名列表。 然后在运行时，当可以接收到用于为查询间隔提供元数据项的排序列表的请求时，可以确定来自预先选择的时间间隔的时间间隔的组合，其覆盖查询时间间隔，并且排列的元数据列表 涵盖查询时间间隔的时间间隔组合的每个时间间隔的项目可以被聚合并输出以用于可视化。

公开(公告)号：US20090157651A1

公开(公告)日：2009-06-18

申请号：US11958913

申请日：2007-12-18

申请人： Andrew Tomkins ,  Shanmugasundaram Ravikumar ,  Cameron Marlow ,  Jasmine Novak

发明人： Andrew Tomkins ,  Shanmugasundaram Ravikumar ,  Cameron Marlow ,  Jasmine Novak

IPC分类号： G06F17/30 ,  G06F7/00

CPC分类号： G06F17/30864

摘要： A method and apparatus are provided for detecting and explaining bursty stream events in targeted groups. In one example, the method includes receiving validated bursty events, finding explanatory data sources having relevant bursty events that are relevant to the validated bursty events, wherein the explanatory sources explain the presence of the validated bursty events, correlating the validated bursty events to the relevant bursty events of the explanatory data sources to obtain burst results, and sending the burst results to a burst database that is accessible to an end user.

摘要翻译： 提供了一种用于检测和解释目标组中的突发流事件的方法和装置。 在一个示例中，该方法包括接收经过验证的突发事件，找到具有与经验证的突发事件相关的相关突发事件的说明性数据源，其中解释源解释存在经验证的突发事件，将验证的突发事件与相关的突发事件相关联 解释数据源的突发事件以获得突发结果，并将突发结果发送到最终用户可访问的突发数据库。

公开(公告)号：US20070271270A1

公开(公告)日：2007-11-22

申请号：US11437425

申请日：2006-05-19

申请人： Micah Joel Dubinko ,  Shanmugasundaram Ravikumar ,  Joseph Andrew Magnani ,  Jasmine Novak ,  Prabhakar Raghavan ,  Andrew Tomkins

发明人： Micah Joel Dubinko ,  Shanmugasundaram Ravikumar ,  Joseph Andrew Magnani ,  Jasmine Novak ,  Prabhakar Raghavan ,  Andrew Tomkins

IPC分类号： G06F7/00

CPC分类号： G06F17/30864

摘要： An improved system and method for selecting and visualizing object metadata evolving over time is provided. An application may generate a visualization depicting the temporal evolution of metadata describing objects in an object store over a plurality of time intervals. The application may switch between a visualization of object metadata flowing like a river or cascading like a waterfall over time. A ranked list of metadata items may be determined for some pre-selected intervals during a pre-processing step. Then at runtime when a request may be received for providing a ranked list of metadata items for a query interval, a combination of time intervals from the pre-selected time intervals may be determined that cover the query time interval, and the ranked lists of metadata items for each time interval in the combination of time intervals that cover the query time interval may be aggregated and output for visualization.

摘要翻译： 提供了一种改进的系统和方法，用于随着时间的推移来选择和可视化对象元数据。 应用可以生成描绘在多个时间间隔中描述对象存储中的对象的元数据的时间演变的可视化。 应用程序可以在像河流一样流动的对象元数据的可视化或瀑布之间随着时间的流逝而进行切换。 可以在预处理步骤期间为某些预选间隔确定元数据项目的排名列表。 然后在运行时，当可以接收到用于为查询间隔提供元数据项的排序列表的请求时，可以确定来自预先选择的时间间隔的时间间隔的组合，其覆盖查询时间间隔，并且排列的元数据列表 涵盖查询时间间隔的时间间隔组合的每个时间间隔的项目可以被聚合并输出以用于可视化。

公开(公告)号：US07581184B2

公开(公告)日：2009-08-25

申请号：US11437415

申请日：2006-05-19

申请人： Micah Joel Dubinko ,  Shanmugasundaram Ravikumar ,  Joseph Andrew Magnani ,  Jasmine Novak ,  Prabhakar Raghavan ,  Andrew Tomkins

发明人： Micah Joel Dubinko ,  Shanmugasundaram Ravikumar ,  Joseph Andrew Magnani ,  Jasmine Novak ,  Prabhakar Raghavan ,  Andrew Tomkins

IPC分类号： G06F3/00 ,  G06F3/048 ,  G06F17/30

CPC分类号： G06F17/30994 ,  G06F17/30997 ,  Y10S707/99937

摘要： An improved system and method for selecting and visualizing object metadata evolving over time is provided. An application may generate a visualization depicting the temporal evolution of metadata describing objects in an object store over a plurality of time intervals. The application may switch between a visualization of object metadata flowing like a river or cascading like a waterfall over time. A ranked list of metadata items may be determined for some pre-selected intervals during a pre-processing step. Then at runtime when a request may be received for providing a ranked list of metadata items for a query interval, a combination of time intervals from the pre-selected time intervals may be determined that cover the query time interval, and the ranked lists of metadata items for each time interval in the combination of time intervals that cover the query time interval may be aggregated and output for visualization.

摘要翻译： 提供了一种改进的系统和方法，用于随着时间的推移来选择和可视化对象元数据。 应用可以生成描绘在多个时间间隔中描述对象存储中的对象的元数据的时间演变的可视化。 应用程序可以在像河流一样流动的对象元数据的可视化或瀑布之间随着时间的流逝而进行切换。 可以在预处理步骤期间为某些预选间隔确定元数据项目的排名列表。 然后在运行时，当可以接收到用于为查询间隔提供元数据项的排序列表的请求时，可以确定来自预先选择的时间间隔的时间间隔的组合，其覆盖查询时间间隔，并且排列的元数据列表 涵盖查询时间间隔的时间间隔组合的每个时间间隔的项目可以被聚合并输出以用于可视化。

公开(公告)号：US08612409B2

公开(公告)日：2013-12-17

申请号：US11958913

申请日：2007-12-18

申请人： Andrew Tomkins ,  Shanmugasundaram Ravikumar ,  Cameron Marlow ,  Jasmine Novak

发明人： Andrew Tomkins ,  Shanmugasundaram Ravikumar ,  Cameron Marlow ,  Jasmine Novak

IPC分类号： G06F17/30

CPC分类号： G06F17/30864

摘要： A method and apparatus are provided for detecting and explaining bursty stream events in targeted groups. In one example, the method includes receiving validated bursty events, finding explanatory data sources having relevant bursty events that are relevant to the validated bursty events, wherein the explanatory sources explain the presence of the validated bursty events, correlating the validated bursty events to the relevant bursty events of the explanatory data sources to obtain burst results, and sending the burst results to a burst database that is accessible to an end user.

公开(公告)号：US07739275B2

公开(公告)日：2010-06-15

申请号：US11437425

申请日：2006-05-19

申请人： Micah Joel Dubinko ,  Shanmugasundaram Ravikumar ,  Joseph Andrew Magnani ,  Jasmine Novak ,  Prabhakar Raghavan ,  Andrew Tomkins

发明人： Micah Joel Dubinko ,  Shanmugasundaram Ravikumar ,  Joseph Andrew Magnani ,  Jasmine Novak ,  Prabhakar Raghavan ,  Andrew Tomkins

IPC分类号： G06F17/30

CPC分类号： G06F17/30864

摘要： An improved system and method for selecting and visualizing object metadata evolving over time is provided. An application may generate a visualization depicting the temporal evolution of metadata describing objects in an object store over a plurality of time intervals. The application may switch between a visualization of object metadata flowing like a river or cascading like a waterfall over time. A ranked list of metadata items may be determined for some pre-selected intervals during a pre-processing step. Then at runtime when a request may be received for providing a ranked list of metadata items for a query interval, a combination of time intervals from the pre-selected time intervals may be determined that cover the query time interval, and the ranked lists of metadata items for each time interval in the combination of time intervals that cover the query time interval may be aggregated and output for visualization.

摘要翻译： 提供了一种改进的系统和方法，用于随着时间的推移来选择和可视化对象元数据。 应用可以生成描绘在多个时间间隔中描述对象存储中的对象的元数据的时间演变的可视化。 应用程序可以在像河流一样流动的对象元数据的可视化或瀑布之间随着时间的流逝而进行切换。 可以在预处理步骤期间为某些预选间隔确定元数据项目的排名列表。 然后在运行时，当可以接收到用于为查询间隔提供元数据项的排序列表的请求时，可以确定来自预先选择的时间间隔的时间间隔的组合，其覆盖查询时间间隔，并且排列的元数据列表 涵盖查询时间间隔的时间间隔组合的每个时间间隔的项目可以被聚合并输出以用于可视化。

公开(公告)号：US07725346B2

公开(公告)日：2010-05-25

申请号：US11191776

申请日：2005-07-27

申请人： Daniel Frederick Gruhl ,  Ramanathan Vaidhyanath Guha ,  Jasmine Novak ,  Shanmugasundaram Ravikumar ,  Andrew S. Tomkins

发明人： Daniel Frederick Gruhl ,  Ramanathan Vaidhyanath Guha ,  Jasmine Novak ,  Shanmugasundaram Ravikumar ,  Andrew S. Tomkins

IPC分类号： G06F17/18

CPC分类号： G06Q30/02 ,  G06Q30/0202

摘要： A sales prediction system predicts sales from online public discussions. The system utilizes manually or automatically formulated predicates to capture subsets of postings in online public discussions. The system predicts spikes in sales rank based on online chatter. The system comprises automated algorithms that predict spikes in sales rank given a time series of counts of online discussions such as blog postings. The system utilizes a stateless model of customer behavior based on a series of states of excitation that are increasingly likely to lead to a purchase decision. The stateless model of customer behavior yields a predictor of sales rank spikes that is significantly more accurate than conventional techniques operating on sales rank data alone.

摘要翻译： 销售预测系统预测在线公众讨论的销售。 系统利用手动或自动制定的谓词来捕获在线公开讨论中的帖子。 该系统基于在线聊天预测销售额的高峰。 该系统包括自动算法，用于预测在线讨论的时间序列（如博客帖子）的销售排名。 该系统基于一系列越来越有可能导致购买决定的激励状态，利用客户行为的无状态模型。 客户行为的无状态模型产生了销售排名尖峰的预测指标，这比传统的技术仅针对销售排名数据进行操作。

公开(公告)号：US08914729B2

公开(公告)日：2014-12-16

申请号：US11590045

申请日：2006-10-30

申请人： Micah Dubinko ,  Joseph Magnani ,  Jasmine Novak ,  Ravi Kumar ,  Prabhakar Raghavan ,  Andrew Tomkins

发明人： Micah Dubinko ,  Joseph Magnani ,  Jasmine Novak ,  Ravi Kumar ,  Prabhakar Raghavan ,  Andrew Tomkins

IPC分类号： G06F3/00 ,  G06F3/048 ,  G06F3/0484 ,  G06F17/30 ,  H04L29/06

CPC分类号： G06F17/30899 ,  G06F3/0484 ,  G06F17/30 ,  G06F17/30867 ,  H04L65/4084

摘要： Methods and systems are described for navigating a corpus of content items stored in one or more information repositories within a distributed communications system. The content items may include video feeds, audio feeds, television broadcasts, website, a web log or the like. Using any browser application, the user views content items presented in an interactive scroll display. Modules are included for filtering, sorting and sampling content to ensure delivery of relevant high-quality content to the user. A feedback mechanism is also included for refining relevance filtering, sorting and sampling processes.

摘要翻译： 描述了用于导航存储在分布式通信系统内的一个或多个信息库中的内容项的语料库的方法和系统。 内容项目可以包括视频馈送，音频馈送，电视广播，网站，网络日志等。 使用任何浏览器应用程序，用户查看交互式滚动显示中呈现的内容项。 包含模块用于过滤，分类和抽样内容，以确保向用户传送相关的高质量内容。 还包括一个反馈机制来完善相关性过滤，排序和抽样过程。