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公开(公告)号：US08706664B2
公开(公告)日：2014-04-22
申请号：US13463718
申请日：2012-05-03
申请人： Oliver B. Downs , Michael Sandoval , Claudiu Alin Branzan , Vlad Mircea Iovanov , Sopurkh Singh Khalsa , Radu Ioan Bisca , Catalin Teodor Milos
发明人： Oliver B. Downs , Michael Sandoval , Claudiu Alin Branzan , Vlad Mircea Iovanov , Sopurkh Singh Khalsa , Radu Ioan Bisca , Catalin Teodor Milos
CPC分类号： G06F17/30675 , G06F17/30648 , G06F17/3071
摘要： Techniques are described for determining and using relevant information related to domains of interest. In at least some situations, the techniques include automatically analyzing documents, terms and other information related to a domain of interest in order to automatically determine information about relevant themes within the domain and/or about which documents have contents that are relevant to such themes. Such automatically determined information related to a domain may then be used in various ways, including to assist users in specifying themes of interest and/or in obtaining documents and/or document fragments with contents that are relevant to specified themes. In addition, information about how the automatically determined information is used by users may be tracked and used as feedback for learning improved determinations of relevant themes and relevant documents within the domain, such as by using automated machine learning techniques.
摘要翻译： 描述了确定和使用与感兴趣领域相关的相关信息的技术。 在至少一些情况下，这些技术包括自动分析与感兴趣域相关的文档，术语和其他信息，以便自动确定关于域内的相关主题的信息和/或哪些文档具有与这些主题相关的内容。 然后可以以各种方式使用与域相关的这种自动确定的信息，包括帮助用户指定感兴趣的主题和/或获得与指定主题相关的内容的文档和/或文档片段。 另外，可以跟踪用户如何使用自动确定的信息的信息，并将其用作用于学习改进的域内相关主题和相关文档的确定的反馈，例如通过使用自动机器学习技术。
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公开(公告)号：US20130066887A1
公开(公告)日：2013-03-14
申请号：US13463718
申请日：2012-05-03
申请人： Oliver B. Downs , Michael Sandoval , Claudiu Alin Branzan , Vlad Mircea Iovanov , Sopurkh Singh Khalsa , Radu Ioan Bisca , Catalin Teodor Milos
发明人： Oliver B. Downs , Michael Sandoval , Claudiu Alin Branzan , Vlad Mircea Iovanov , Sopurkh Singh Khalsa , Radu Ioan Bisca , Catalin Teodor Milos
IPC分类号： G06F17/30
CPC分类号： G06F17/30675 , G06F17/30648 , G06F17/3071
摘要： Techniques are described for determining and using relevant information related to domains of interest. In at least some situations, the techniques include automatically analyzing documents, terms and other information related to a domain of interest in order to automatically determine information about relevant themes within the domain and/or about which documents have contents that are relevant to such themes. Such automatically determined information related to a domain may then be used in various ways, including to assist users in specifying themes of interest and/or in obtaining documents and/or document fragments with contents that are relevant to specified themes. In addition, information about how the automatically determined information is used by users may be tracked and used as feedback for learning improved determinations of relevant themes and relevant documents within the domain, such as by using automated machine learning techniques.
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公开(公告)号：US08190541B2
公开(公告)日：2012-05-29
申请号：US12392933
申请日：2009-02-25
申请人： Oliver B. Downs , Michael Sandoval , Claudiu Alin Branzan , Vlad Mircea Iovanov , Sopurkh Singh Khalsa , Radu Ioan Bisca , Catalin Teodor Milos
发明人： Oliver B. Downs , Michael Sandoval , Claudiu Alin Branzan , Vlad Mircea Iovanov , Sopurkh Singh Khalsa , Radu Ioan Bisca , Catalin Teodor Milos
CPC分类号： G06F17/30675 , G06F17/30648 , G06F17/3071
摘要： Techniques are described for determining and using relevant information related to domains of interest. In at least some situations, the techniques include automatically analyzing documents, terms and other information related to a domain of interest in order to automatically determine information about relevant themes within the domain and/or about which documents have contents that are relevant to such themes. Such automatically determined information related to a domain may then be used in various ways, including to assist users in specifying themes of interest and/or in obtaining documents and/or document fragments with contents that are relevant to specified themes. In addition, information about how the automatically determined information is used by users may be tracked and used as feedback for learning improved determinations of relevant themes and relevant documents within the domain, such as by using automated machine learning techniques.
摘要翻译： 描述了确定和使用与感兴趣领域相关的相关信息的技术。 在至少一些情况下，这些技术包括自动分析与感兴趣域相关的文档，术语和其他信息，以便自动确定关于域内的相关主题的信息和/或哪些文档具有与这些主题相关的内容。 然后可以以各种方式使用与域相关的这种自动确定的信息，包括帮助用户指定感兴趣的主题和/或获得与指定主题相关的内容的文档和/或文档片段。 另外，可以跟踪用户如何使用自动确定的信息的信息，并将其用作用于学习改进的域内相关主题和相关文档的确定的反馈，例如通过使用自动机器学习技术。
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公开(公告)号：US20090216696A1
公开(公告)日：2009-08-27
申请号：US12392933
申请日：2009-02-25
申请人： Oliver B. Downs , Michael Sandoval , Claudiu Alin Branzan , Vlad Mircea Iovanov , Sopurkh Singh Khalsa , Radu Ioan Bisca , Catalin Teodor Milos
发明人： Oliver B. Downs , Michael Sandoval , Claudiu Alin Branzan , Vlad Mircea Iovanov , Sopurkh Singh Khalsa , Radu Ioan Bisca , Catalin Teodor Milos
IPC分类号： G06N3/08
CPC分类号： G06F17/30675 , G06F17/30648 , G06F17/3071
摘要： Techniques are described for determining and using relevant information related to domains of interest. In at least some situations, the techniques include automatically analyzing documents, terms and other information related to a domain of interest in order to automatically determine information about relevant themes within the domain and/or about which documents have contents that are relevant to such themes. Such automatically determined information related to a domain may then be used in various ways, including to assist users in specifying themes of interest and/or in obtaining documents and/or document fragments with contents that are relevant to specified themes. In addition, information about how the automatically determined information is used by users may be tracked and used as feedback for learning improved determinations of relevant themes and relevant documents within the domain, such as by using automated machine learning techniques.
摘要翻译： 描述了确定和使用与感兴趣领域相关的相关信息的技术。 在至少一些情况下，这些技术包括自动分析与感兴趣域相关的文档，术语和其他信息，以便自动确定关于域内的相关主题的信息和/或哪些文档具有与这些主题相关的内容。 然后可以以各种方式使用与域相关的这种自动确定的信息，包括帮助用户指定感兴趣的主题和/或获得与指定主题相关的内容的文档和/或文档片段。 另外，可以跟踪用户如何使用自动确定的信息的信息，并将其用作用于学习改进的域内相关主题和相关文档的确定的反馈，例如通过使用自动机器学习技术。
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5.发明申请公开(公告)号：US20100153324A1
公开(公告)日：2010-06-17
申请号：US12636630
申请日：2009-12-11
申请人： Oliver B. Downs , Michael Sandoval , Claudiu Alin Branzan , Vlad Mircea Iovanov , Sopurkh Singh Khalsa
发明人： Oliver B. Downs , Michael Sandoval , Claudiu Alin Branzan , Vlad Mircea Iovanov , Sopurkh Singh Khalsa
CPC分类号： G06N3/08 , G06F17/2745 , G06F17/2809 , G06N7/005
摘要： Techniques are described for determining and using information related to domains of interest, such as by automatically analyzing documents and other information related to a domain in order to automatically determine relationships between particular terms within the domain. Such automatically determined information may then be used to assist users in obtaining information from the domain that is of interest (e.g., documents with contents that are relevant to user-specified terms and/or to other terms that are determined to be sufficiently related to the user-specified terms). For example, recommendations may be automatically generated for a user by using information about specified preferences or other interests of the user with respect to one or more terms and identifying other particular terms that are sufficiently probable to be of interest to that user, such as based on a generated probabilistic representation of relationships between particular terms for the domain.
摘要翻译： 描述了用于确定和使用与感兴趣域相关的信息的技术，例如通过自动分析与域相关的文档和其他信息，以便自动确定域内的特定术语之间的关系。 然后可以使用这样的自动确定的信息来帮助用户从感兴趣的域获取信息（例如，具有与用户指定的条款相关的内容的文档和/或被确定为与用户指定的术语充分相关的其他术语的文档） 用户指定的术语）。 例如，可以通过使用关于一个或多个术语的关于指定的偏好或用户的其他兴趣的信息来自动地为用户生成建议，并且识别出足够可能对该用户感兴趣的其他特定术语，诸如基于 关于域的特定术语之间的关系的生成的概率表示。
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6.发明授权公开(公告)号：US08429106B2
公开(公告)日：2013-04-23
申请号：US12636630
申请日：2009-12-11
申请人： Oliver B. Downs , Michael Sandoval , Claudiu Alin Branzan , Vlad Mircea Iovanov , Sopurkh Singh Khalsa
发明人： Oliver B. Downs , Michael Sandoval , Claudiu Alin Branzan , Vlad Mircea Iovanov , Sopurkh Singh Khalsa
CPC分类号： G06N3/08 , G06F17/2745 , G06F17/2809 , G06N7/005
摘要： Techniques are described for determining and using information related to domains of interest, such as by automatically analyzing documents and other information related to a domain in order to automatically determine relationships between particular terms within the domain. Such automatically determined information may then be used to assist users in obtaining information from the domain that is of interest (e.g., documents with contents that are relevant to user-specified terms and/or to other terms that are determined to be sufficiently related to the user-specified terms). For example, recommendations may be automatically generated for a user by using information about specified preferences or other interests of the user with respect to one or more terms and identifying other particular terms that are sufficiently probable to be of interest to that user, such as based on a generated probabilistic representation of relationships between particular terms for the domain.
摘要翻译： 描述了用于确定和使用与感兴趣域相关的信息的技术，例如通过自动分析与域相关的文档和其他信息，以便自动确定域内的特定术语之间的关系。 然后可以使用这样的自动确定的信息来帮助用户从感兴趣的域获取信息（例如，具有与用户指定的条款相关的内容的文档和/或被确定为与用户指定的术语充分相关的其他术语的文档） 用户指定的术语）。 例如，可以通过使用关于一个或多个术语的关于指定的偏好或用户的其他兴趣的信息来自动地为用户生成建议，并且识别出足够可能对该用户感兴趣的其他特定术语，例如基于 关于域的特定术语之间的关系的生成的概率表示。
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7.发明授权公开(公告)号：US09449508B2
公开(公告)日：2016-09-20
申请号：US13194822
申请日：2011-07-29
CPC分类号： G08G1/0129 , G08G1/0104 , G08G1/0133 , G08G1/052 , G08G1/056 , G08G1/065 , H04W88/02
摘要： Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from vehicles and other mobile data sources traveling on the roads, as well as in some situations data from one or more other sources (such as physical sensors near to or embedded in the roads). The assessment of road traffic conditions based on obtained data samples may include various filtering and/or conditioning of the data samples, and various inferences and probabilistic determinations of traffic-related characteristics from the data samples. In some situations, the filtering of the data samples includes identifying data samples that are inaccurate or otherwise unrepresentative of actual traffic condition characteristics, such as data samples that are not of interest based at least in part on roads with which the data samples are associated and/or that otherwise reflect vehicle locations or activities that are not of interest.
摘要翻译： 描述了基于获得的交通相关数据（例如来自车辆的数据样本和在道路上行驶的其他移动数据源）以及在某些情况下来自一个或多个其他来源（例如， 作为靠近或嵌入道路的物理传感器）。 基于获得的数据样本对道路交通状况的评估可以包括数据样本的各种过滤和/或调节，以及来自数据样本的业务相关特征的各种推断和概率确定。 在某些情况下，数据样本的过滤包括识别不准确或以其他方式代表实际交通状况特征的数据样本，例如至少部分地基于与数据样本相关联的道路不感兴趣的数据样本，以及 /或以其他方式反映车辆位置或不感兴趣的活动。
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公开(公告)号：US08615354B2
公开(公告)日：2013-12-24
申请号：US12856423
申请日：2010-08-13
申请人： Alec Barker , Todd Asher , Mitchel A. Burns , Oliver B. Downs , Craig H. Chapman , Robert C. Cahn
发明人： Alec Barker , Todd Asher , Mitchel A. Burns , Oliver B. Downs , Craig H. Chapman , Robert C. Cahn
CPC分类号： G08G1/0962 , G08G1/0104 , G08G1/0968 , G08G1/0969
摘要： Techniques are described for displaying or otherwise providing information to users regarding various types of road traffic condition information in various ways. The information may be provided, for example, as part of a user interface (or “UI”), which may in some situations further include one or more types of user-selectable controls to allow a user to manipulate in various ways what road traffic condition information is displayed and/or how the information is displayed. A variety of types of road traffic condition information may be presented to users in various manners, including by presenting information on graphically displayed maps for geographic areas to indicate various information about road conditions in the geographic area. In addition, provided controls may allow users to select particular times, select particular routes, indicate to perform animation of various types of changing traffic conditions over a sequence of multiple successive times, etc.
摘要翻译： 描述了用于以各种方式向用户显示或以其他方式提供关于各种类型的道路交通状况信息的信息的技术。 该信息可以例如作为用户界面（或“UI”）的一部分来提供，其在某些情况下可以进一步包括一种或多种类型的用户可选择的控制，以允许用户以各种方式操纵什么道路交通 显示条件信息和/或信息的显示方式。 可以以各种方式向用户呈现各种类型的道路交通状况信息，包括通过呈现关于地理区域的图形显示地图的信息来指示关于地理区域中的道路状况的各种信息。 此外，提供的控制可以允许用户选择特定时间，选择特定路线，指示在多个连续时间序列等上执行各种类型的改变交通状况的动画。
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公开(公告)号：US08275540B2
公开(公告)日：2012-09-25
申请号：US13301622
申请日：2011-11-21
申请人： Oliver B. Downs , Craig H. Chapman , Alec Barker
发明人： Oliver B. Downs , Craig H. Chapman , Alec Barker
CPC分类号： G08G1/0104 , G08G1/0968
摘要： Techniques are described for generating predictions of future traffic conditions at multiple future times, such as by using probabilistic techniques to assess various input data while repeatedly producing future time series predictions for each of numerous road segments (e.g., in a real-time manner based on changing current conditions for a network of roads in a given geographic area). In some situations, one or more predictive Bayesian models and corresponding decision trees are automatically created for use in generating the future traffic condition predictions for each geographic area of interest, such as based on observed historical traffic conditions for those geographic areas. Predicted future traffic condition information may then be used in a variety of ways to assist in travel and for other purposes, such as to plan optimal routes through a network of roads based on predictions about traffic conditions for the roads at multiple future times.
摘要翻译： 描述了用于在多个未来时间产生对未来交通状况的预测的技术，例如通过使用概率技术来评估各种输入数据，同时重复地为多个路段中的每一个生成未来的时间序列预测（例如，基于 改变给定地理区域的道路网络的当前条件）。 在某些情况下，例如基于观察到的那些地理区域的历史交通条件，自动创建一个或多个预测贝叶斯模型和相应的决策树，以用于生成每个感兴趣地理区域的未来交通状况预测。 预测的未来交通状况信息可以以各种方式用于协助旅行和其他目的，例如基于关于未来时间的道路交通状况的预测来规划通过道路网络的最佳路线。
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10.发明授权公开(公告)号：US08014936B2
公开(公告)日：2011-09-06
申请号：US11444998
申请日：2006-05-31
CPC分类号： G08G1/0129 , G08G1/0104 , G08G1/0133 , G08G1/052 , G08G1/056 , G08G1/065 , H04W88/02
摘要： Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from vehicles and other mobile data sources traveling on the roads, as well as in some situations data from one or more other sources (such as physical sensors near to or embedded in the roads). The assessment of road traffic conditions based on obtained data samples may include various filtering and/or conditioning of the data samples, and various inferences and probabilistic determinations of traffic-related characteristics from the data samples. In some situations, the filtering of the data samples includes identifying data samples that are inaccurate or otherwise unrepresentative of actual traffic condition characteristics, such as data samples that are not of interest based at least in part on roads with which the data samples are associated and/or that otherwise reflect vehicle locations or activities that are not of interest.
摘要翻译： 描述了基于获得的交通相关数据（例如来自车辆的数据样本和在道路上行驶的其他移动数据源）以及在某些情况下来自一个或多个其他来源（例如， 作为靠近或嵌入道路的物理传感器）。 基于获得的数据样本对道路交通状况的评估可以包括数据样本的各种过滤和/或调节，以及来自数据样本的业务相关特征的各种推断和概率确定。 在某些情况下，数据样本的过滤包括识别不准确或以其他方式代表实际交通状况特征的数据样本，例如至少部分地基于与数据样本相关联的道路不感兴趣的数据样本，以及 /或以其他方式反映车辆位置或不感兴趣的活动。
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