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1.发明申请METHODS AND ARCHITECTURES FOR CONTEXT-SENSITIVE REMINDERS AND SERVICE FACILITATION 审中-公开上下文敏感提示的方法和架构和服务辅助公开(公告)号：US20080004926A1
公开(公告)日：2008-01-03
申请号：US11428228
申请日：2006-06-30
IPC分类号： G06F17/50
CPC分类号： G06Q10/047 , G06Q10/06315 , G06Q10/06316 , G06Q10/06375 , G06Q30/02
摘要： Methods and architectures for context-sensitive reminding and service facilitating are disclosed. The architectures monitor user context and activity, senses or infers relevant reminders, goals, such as those that come from a growing need of the user that should be fulfilled, and computes best reminders, and recommend plans on fulfilling need(s) in an optimum way. Statistical models of a user's knowledge and recall in different settings may be employed. Facilities, services, and merchants can be identified along a route that the user can take, and cost-benefit analysis is performed for determining which merchant(s) to select to fulfill the need(s). Routes may be created as opportunistic modifications of trips underway. Merchants can respond back with offers of sale to the user for all available needed items, and the user can respond with acceptance or denial of the offers. Merchants can also respond in a bidding fashion in order to gain user's patronage.
摘要翻译： 披露了上下文敏感提醒和服务促进的方法和体系结构。 架构监视用户环境和活动，感知或推测相关提醒，目标，例如来自用户日益增长的需求应该实现的目标，并计算最佳提醒，并推荐在满足需求的计划 办法。 可以采用不同设置中用户的知识和召回的统计模型。 设备，服务和商家可以沿着用户可以采用的路线被识别，并且执行成本效益分析以确定哪些商家选择以满足需要。 路线可能是正在进行的旅行的机会性修改。 商家可以回复用户的所有可用物品的销售优惠，用户可以接受或拒绝提供回复。 招商人员也可以以招标方式进行回应，以获得用户的惠顾。
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2.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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3.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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4.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：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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6.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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7.发明授权Computing and harnessing inferences about the timing, duration, and nature of motion and cessation of motion with applications to mobile computing and communications 有权计算和利用关于运动的时间，持续时间和性质以及移动计算和通信应用的运动停止的推论公开(公告)号：US08626433B2
公开(公告)日：2014-01-07
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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8.发明授权Computing and harnessing inferences about the timing, duration, and nature of motion and cessation of motion with applications to mobile computing and communications 有权计算和利用关于运动的时间，持续时间和性质以及移动计算和通信应用的运动停止的推论公开(公告)号：US07617042B2
公开(公告)日：2009-11-10
申请号：US11428170
申请日：2006-06-30
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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9.发明申请公开(公告)号：US20080004793A1
公开(公告)日：2008-01-03
申请号：US11428170
申请日：2006-06-30
IPC分类号： G01C21/00
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：US07493369B2
公开(公告)日：2009-02-17
申请号：US10881429
申请日：2004-06-30
IPC分类号： G06F15/16
CPC分类号： G06Q10/109
摘要： The present invention relates to a system and methodology to facilitate collaboration and communications between entities such as between parties to a communication, automated applications and components, and/or combinations thereof. The systems and methods of the present invention include a service that supports collaboration and communication by learning predictive models that provide forecasts of one or more aspects of a user's presence and availability. Presence forecasts include a user's current location or future locations at different levels of location precision and of the availability to users of different devices or applications. Availability assessments include inferences about the cost of interrupting a user in different ways and a user's current or future access to one or more communication channels that may be supported by one or more devices with appropriate capabilities. The predictive models are constructed via statistical learning methods from data collected by considering user activity and proximity from multiple devices, in addition to analysis of the content of users' calendars, the time of day, and day of week, for example. Beyond ambient data collection, users can provide input via batch input tools or via intermittent probes of their situation and context. Various applications are provided that employ the presence and availability information supplied by the models in order to facilitate collaboration and communications between entities.
摘要翻译： 本发明涉及促进实体之间的协作和通信的系统和方法，例如通信的各方，自动应用和组件，和/或其组合。 本发明的系统和方法包括通过学习提供用户的存在和可用性的一个或多个方面的预测的预测模型来支持协作和通信的服务。 在线状态预测包括不同位置精度的用户当前位置或未来位置以及不同设备或应用的用户的可用性。 可用性评估包括关于以不同方式中断用户的成本的推论，以及用户当前或未来访问一个或多个可能由具有适当能力的一个或多个设备支持的通信信道的推论。 除了分析用户日历的内容，一天中的一天和一周中的一天之外，还通过考虑用户活动和多个设备的邻近度所收集的数据，通过统计学习方法构建预测模型。 除了环境数据收集之外，用户还可以通过批量输入工具或通过对其情境和环境的间歇探测来提供输入。 提供了各种应用，其使用由模型提供的存在和可用性信息，以便于实体之间的协作和通信。
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