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1.发明授权Method and apparatus for generating an inference about a destination of a trip using a combination of open-world modeling and closed world modeling 有权使用开放世界建模和封闭世界建模的组合产生关于旅行目的地的推断的方法和装置公开(公告)号：US07991718B2
公开(公告)日：2011-08-02
申请号：US11770541
申请日：2007-06-28
IPC分类号： G06G1/12
CPC分类号： G06N99/005
摘要： The claimed subject matter provides systems and/or methods that facilitate generating an inference about events that may not have yet been observed. Open-world modeling can be used to take a history of observation so as to understand trends over time in the revelation of previously unseen events, and to make inferences with subsets of data that new unseen events will be seen. Thus, inaccuracies associated with predictions generated from incomplete data sets can be mitigated. To yield such predictions, open-world submodels and closed-world submodels that do not allow for previously unseen events can be combined via a model mixture methodology, which fuses inferences from the open- and close-world models.
摘要翻译： 所要求保护的主题提供了有助于产生关于可能尚未观察到的事件的推断的系统和/或方法。 开放世界建模可以用来观察观察历史，以便了解以前不可见的事件的启示，随着时间的推移，了解趋势，并对数据的数据进行推论，发现新的看不见的事件。 因此，可以减轻与由不完整数据集产生的预测相关联的不准确。 为了产生这样的预测，开放世界的子模型和封闭世界的子模型不允许以前看不见的事件可以通过模拟混合方法进行组合，这种模型混合方法融合了开放和密切世界模型的推论。
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公开(公告)号：US20080004789A1
公开(公告)日：2008-01-03
申请号：US11428175
申请日：2006-06-30
CPC分类号： G08G1/0104 , G01C21/3492 , G08G1/096811
摘要： Sensing, learning, inference, and route analysis methods are described that center on the development and use of models that predict road speeds. In use, the system includes a receiver component that receives a traffic system representation, the traffic system representation includes velocities for a plurality of road segments over different contexts. A predictive component analyzes the traffic system representation and automatically assigns velocities to road segments within the traffic system representation, thereby providing more realistic velocities for different contexts where only statistics and/or posted speed limits were available before. The predictive component makes predictions about velocities for road segments at a current time or at specified times in the future by considering available velocity information as well as such information as the properties of roads, geometric relationships among roads of different types, proximal terrain and businesses, and other resources near road segments, and/or contextual information.
摘要翻译： 描述了感知，学习，推理和路线分析方法，其中以开发和使用预测道路速度的模型为基础。 在使用中，系统包括接收业务系统表示的接收机组件，业务系统表示包括在不同上下文中的多个道路段的速度。 预测组件分析交通系统表示，并自动将流量分配给交通系统表示中的路段，从而为仅在之前仅提供统计信息和/或发布速度限制的不同上下文提供更逼真的速度。 预测性组件通过考虑可用的速度信息以及诸如道路性质，不同类型的道路，近地域和企业之间的几何关系等信息，对当前时间或未来特定时间的道路段的速度进行预测， 和路段附近的其他资源，和/或上下文信息。
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公开(公告)号：US07831679B2
公开(公告)日：2010-11-09
申请号：US11172529
申请日：2005-06-29
IPC分类号： G06F15/16
CPC分类号： H04M3/436 , G06F15/16 , G06F15/163 , G06Q10/10 , H04L12/28 , H04M3/42059 , H04M3/42093 , H04M3/42102 , H04M3/4211 , H04M2201/60 , H04M2203/2072 , H04M2242/22 , H04W8/18 , H04W8/22 , H04W40/02
摘要： A sensing and context management architecture that can detect that a user is interacting with a given device and in an associated context, and in response thereto, manages device processes as the user moves from device to device, location to location, and/or context to context. The invention comprises a system that facilitates management of a user situation or context. A sensing component is provided that senses a context of a user by way of one or more sensors and/or a particular device with which the user is interacting in the context, for example, and a management component that manages the device and/or one or more services in the context according to rules or inferences user preferences, sensed observations, and user input data.
摘要翻译： 感测和上下文管理架构，其可以检测用户正在与给定设备交互并且在相关联的上下文中，并且响应于此，管理设备进程，因为用户从设备移动到设备，位置到位置和/或上下文 上下文 本发明包括有助于管理用户状况或上下文的系统。 提供感测组件，其通过一个或多个传感器和/或用户正在上下文中与其交互的特定设备来感测用户的上下文，以及管理该设备和/或一个 或根据规则或推论用户偏好，感测到的观察和用户输入数据在上下文中的更多服务。
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4.发明授权Statistical models and methods to support the personalization of applications and services via consideration of preference encodings of a community of users 有权通过考虑用户社区的偏好编码来支持应用程序和服务的个性化的统计模型和方法公开(公告)号：US07774349B2
公开(公告)日：2010-08-10
申请号：US10882867
申请日：2004-06-30
IPC分类号： G06F17/30
CPC分类号： G06Q30/02
摘要： A statistical methodology is employed for assisting people with the setting of parameters of software applications or services. With the method, information about demographics and/or about the complete or partial preferences of other people, are analyzed to infer recommendations for settings and functionality of a computer application or service. A system is reviewed with the ability to receive data regarding a plurality of users, and stores respective profiles for these users in a community store. The system can leverage off of these completed and/or partially completed profiles of parameters representing preferences about software operation in connection with building new profiles for users (new and/or existing). Data regarding a user that desires to build a new profile is employed in connection with the community profiles to facilitate the user building a personalized profile. Various statistical and/probabilistic schemes can be employed, for example, collaborative filtering techniques to identify to the user the top n settings by particular parameter(s), top m settings by popularity, top x most similar profiles to facilitate the user selecting most appropriate sub-profiles as part of a personalized profile building and selection effort.
摘要翻译： 采用统计方法来协助人们设定软件应用或服务的参数。 通过该方法，分析有关人口统计信息和/或关于其他人的完整或部分偏好的信息，以推断计算机应用程序或服务的设置和功能。 审查系统能够接收关于多个用户的数据，并且将这些用户的相应简档存储在社区商店中。 该系统可以利用这些完成的和/或部分完成的表示关于软件操作的参数的参数，用于为用户（新的和/或现有的）构建新的配置文件。 关于希望构建新配置文件的用户的数据与社区配置文件一起使用，以便于用户构建个性化配置文件。 可以采用各种统计和/概率方案，例如协同过滤技术，以通过特定参数向用户识别顶部n个设置，按照受欢迎程度进行顶部设置，顶部x最相似的配置文件，以便于用户选择最合适的 子配置文件作为个性化配置文件构建和选择工作的一部分。
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5.发明授权Statistical models and methods to support the personalization of applications and services via consideration of preference encodings of a community of users 有权通过考虑用户社区的偏好编码来支持应用程序和服务的个性化的统计模型和方法公开(公告)号：US09443246B2
公开(公告)日：2016-09-13
申请号：US12827013
申请日：2010-06-30
CPC分类号： G06Q30/02
摘要： A statistical methodology is employed for assisting people with the setting of parameters of software applications or services. With the method, information about demographics and/or about the complete or partial preferences of other people, are analyzed to infer recommendations for settings and functionality of a computer application or service. A system is reviewed with the ability to receive data regarding a plurality of users, and stores respective profiles for these users in a community store. The system can leverage off of these completed and/or partially completed profiles of parameters representing preferences about software operation in connection with building new profiles for users (new and/or existing). Data regarding a user that desires to build a new profile is employed in connection with the community profiles to facilitate the user building a personalized profile. Various statistical and/probabilistic schemes can be employed, for example, collaborative filtering techniques to identify to the user the top n settings by particular parameter(s), top m settings by popularity, top x most similar profiles to facilitate the user selecting most appropriate sub-profiles as part of a personalized profile building and selection effort.
摘要翻译： 采用统计方法来协助人们设定软件应用或服务的参数。 通过该方法，分析有关人口统计信息和/或关于其他人的完整或部分偏好的信息，以推断计算机应用程序或服务的设置和功能。 审查系统能够接收关于多个用户的数据，并且将这些用户的相应简档存储在社区商店中。 该系统可以利用这些完成的和/或部分完成的表示关于软件操作的参数的参数，用于为用户（新的和/或现有的）构建新的配置文件。 关于希望构建新配置文件的用户的数据与社区配置文件一起使用，以便于用户构建个性化配置文件。 可以采用各种统计和/概率方案，例如协同过滤技术，以通过特定参数向用户识别顶部n个设置，通过受欢迎程度进行顶部设置，顶部x最相似的配置文件，以便于用户选择最合适的 子配置文件作为个性化配置文件构建和选择工作的一部分。
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公开(公告)号：US20110288839A1
公开(公告)日：2011-11-24
申请号：US13194184
申请日：2011-07-29
CPC分类号： G06Q10/04
摘要： The claimed subject matter provides systems and/or methods that facilitate generating an inference about events that may not have yet been observed. Open-world modeling can be used to take a history of observation so as to understand trends over time in the revelation of previously unseen events, and to make inferences with subsets of data that new unseen events will be seen. Thus, inaccuracies associated with predictions generated from incomplete data sets can be mitigated. To yield such predictions, open-world submodels and closed-world submodels that do not allow for previously unseen events can be combined via a model mixture methodology, which fuses inferences from the open- and close-world models.
摘要翻译： 所要求保护的主题提供了有助于产生关于可能尚未观察到的事件的推断的系统和/或方法。 开放世界建模可以用来观察观察历史，以便了解以前不可见的事件的启示，随着时间的推移，了解趋势，并对数据的数据进行推论，发现新的看不见的事件。 因此，可以减轻与由不完整数据集产生的预测相关联的不准确。 为了产生这样的预测，开放世界的子模型和封闭世界的子模型不允许以前看不见的事件可以通过模拟混合方法进行组合，这种模型混合方法融合了开放和密切世界模型的推论。
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7.发明申请STATISTICAL MODELS AND METHODS TO SUPPORT THE PERSONALIZATION OF APPLICATIONS AND SERVICES VIA CONSIDERATION OF PREFERENCE ENCODINGS OF A COMMUNITY OF USERS 有权统计模型和方法通过考虑用户社区的优先级编码来支持应用程序和服务的个性化公开(公告)号：US20100269051A1
公开(公告)日：2010-10-21
申请号：US12827013
申请日：2010-06-30
CPC分类号： G06Q30/02
摘要： A statistical methodology is employed for assisting people with the setting of parameters of software applications or services. With the method, information about demographics and/or about the complete or partial preferences of other people, are analyzed to infer recommendations for settings and functionality of a computer application or service. A system is reviewed with the ability to receive data regarding a plurality of users, and stores respective profiles for these users in a community store. The system can leverage off of these completed and/or partially completed profiles of parameters representing preferences about software operation in connection with building new profiles for users (new and/or existing). Data regarding a user that desires to build a new profile is employed in connection with the community profiles to facilitate the user building a personalized profile. Various statistical and/probabilistic schemes can be employed, for example, collaborative filtering techniques to identify to the user the top n settings by particular parameter(s), top m settings by popularity, top x most similar profiles to facilitate the user selecting most appropriate sub-profiles as part of a personalized profile building and selection effort.
摘要翻译： 采用统计方法来协助人们设定软件应用或服务的参数。 通过该方法，分析有关人口统计信息和/或关于其他人的完整或部分偏好的信息，以推断计算机应用程序或服务的设置和功能。 审查系统能够接收关于多个用户的数据，并且将这些用户的相应简档存储在社区商店中。 该系统可以利用这些完成的和/或部分完成的表示关于软件操作的参数的参数，用于为用户（新的和/或现有的）构建新的配置文件。 关于希望构建新配置文件的用户的数据与社区配置文件一起使用，以便于用户构建个性化配置文件。 可以采用各种统计和/概率方案，例如协同过滤技术，以通过特定参数向用户识别顶部n个设置，按照受欢迎程度进行顶部设置，顶部x最相似的配置文件，以便于用户选择最合适的 子配置文件作为个性化配置文件构建和选择工作的一部分。
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公开(公告)号：US07706964B2
公开(公告)日：2010-04-27
申请号：US11428175
申请日：2006-06-30
IPC分类号： G08G1/09
CPC分类号： G08G1/0104 , G01C21/3492 , G08G1/096811
摘要： Sensing, learning, inference, and route analysis methods are described that center on the development and use of models that predict road speeds. In use, the system includes a receiver component that receives a traffic system representation, the traffic system representation includes velocities for a plurality of road segments over different contexts. A predictive component analyzes the traffic system representation and automatically assigns velocities to road segments within the traffic system representation, thereby providing more realistic velocities for different contexts where only statistics and/or posted speed limits were available before. The predictive component makes predictions about velocities for road segments at a current time or at specified times in the future by considering available velocity information as well as such information as the properties of roads, geometric relationships among roads of different types, proximal terrain and businesses, and other resources near road segments, and/or contextual information.
摘要翻译： 描述了感知，学习，推理和路线分析方法，其中以开发和使用预测道路速度的模型为基础。 在使用中，系统包括接收业务系统表示的接收机组件，业务系统表示包括在不同上下文中的多个道路段的速度。 预测组件分析交通系统表示，并自动将流量分配给交通系统表示中的路段，从而为仅在之前仅提供统计信息和/或发布速度限制的不同上下文提供更逼真的速度。 预测性组件通过考虑可用的速度信息以及诸如道路性质，不同类型的道路，近地域和企业之间的几何关系等信息，对当前时间或未来特定时间的道路段的速度进行预测， 和路段附近的其他资源，和/或上下文信息。
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9.发明申请公开(公告)号：US20100075639A1
公开(公告)日：2010-03-25
申请号：US12565834
申请日：2009-09-24
摘要： An information delivery system comprises a receiver component that receives information about the movement, velocity, acceleration, and/or locations over time of a user. A computation component using a predictive model generates a probability distribution relating to one or more of when the user will next be stopped, how long the user will be stopped, how long a pattern of motion, such as walking, driving in stop and go traffic, and smooth highway motion will last, based at least in part upon signals about motion over time. The system can further comprise an alerting component that determines when to provide the user with information based at least in part upon the probability distribution over some aspect of motion or cessation of motion, and optionally the content, or tagged or inferred urgency or importance, of a message or communication.
摘要翻译： 信息传递系统包括接收器组件，其接收关于用户随时间的移动，速度，加速度和/或位置的信息。 使用预测模型的计算部件生成与下一个用户何时停止的时间，用户将被停止多长时间，运动模式（例如步行，停止和行驶）中的一个或多个的概率分布 ，并且平稳的公路运动将持续至少部分地基于关于运动随时间的信号。 该系统还可以包括警报组件，其确定何时至少部分地基于在运动或停止运动的某些方面的可能性分布以及可选地内容或标记或推断的紧急性或重要性来向用户提供信息 消息或通信。
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公开(公告)号：US08244660B2
公开(公告)日：2012-08-14
申请号：US13194184
申请日：2011-07-29
IPC分类号： G06F17/00
CPC分类号： G06Q10/04
摘要： The claimed subject matter provides systems and/or methods that facilitate generating an inference about events that may not have yet been observed. Open-world modeling can be used to take a history of observation so as to understand trends over time in the revelation of previously unseen events, and to make inferences with subsets of data that new unseen events will be seen. Thus, inaccuracies associated with predictions generated from incomplete data sets can be mitigated. To yield such predictions, open-world submodels and closed-world submodels that do not allow for previously unseen events can be combined via a model mixture methodology, which fuses inferences from the open- and close-world models.
摘要翻译： 所要求保护的主题提供了有助于产生关于可能尚未观察到的事件的推断的系统和/或方法。 开放世界建模可以用来观察观察历史，以便了解以前不可见的事件的启示，随着时间的推移，了解趋势，并对数据的数据进行推论，发现新的看不见的事件。 因此，可以减轻与由不完整数据集产生的预测相关联的不准确。 为了产生这样的预测，开放世界的子模型和封闭世界的子模型不允许以前看不见的事件可以通过模拟混合方法进行组合，这种模型混合方法融合了开放和密切世界模型的推论。
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