Composable presence and availability services
    1.
    发明授权
    Composable presence and availability services 有权
    可组合的存在和可用性服务

    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。

    METHODS AND ARCHITECTURES FOR CONTEXT-SENSITIVE REMINDERS AND SERVICE FACILITATION
    2.
    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

    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。

    Methods and interfaces for probing and understanding behaviors of alerting and filtering systems based on models and simulation from logs
    3.
    发明授权
    Methods and interfaces for probing and understanding behaviors of alerting and filtering systems based on models and simulation from logs 有权
    基于模型和日志仿真的探测和了解警报和过滤系统的行为的方法和接口

    公开(公告)号:US07664249B2

    公开(公告)日:2010-02-16

    申请号:US10882019

    申请日:2004-06-30

    IPC分类号: H04M7/10

    摘要: The present invention relates to systems and methods that predict behaviors of alerting and filtering systems based on simulation from messaging logs. By logging contextual information, such as the presence, activity, and availability of users, as well as incoming messages and their properties, forecasting services can be created that serve to provide users with an interactive “what if” capability, informing them what they might expect in terms of future behaviors of an automated message alerting and/or filtering system, based on recent messaging histories. A log of the history of incoming messages and contextual data is examined by modeling and simulation tools. The tools reveal the influence of alternate settings on the system's behavior, in response to an expected stream of incoming messages, providing users with insights about how control settings affect alerting, filtering, or routing behaviors.

    摘要翻译: 本发明涉及基于消息传送日志的模拟来预测警报和过滤系统的行为的系统和方法。 通过记录上下文信息,例如用户的存在,活动和可用性以及传入消息及其属性,可以创建用于向用户提供交互式“假设”功能的预测服务,通知他们他们可能是什么 根据最近的消息传递历史,期望自动消息警报和/或过滤系统的未来行为。 通过建模和仿真工具检查传入消息和上下文数据的历史记录。 这些工具显示了备用设置对系统行为的影响,以响应传入消息的预期流,为用户提供有关控制设置如何影响警报,过滤或路由行为的见解。

    Use of a bulk-email filter within a system for classifying messages for urgency or importance
    4.
    发明授权
    Use of a bulk-email filter within a system for classifying messages for urgency or importance 有权
    在系统中使用批量电子邮件过滤器来分类消息的紧急性或重要性

    公开(公告)号:US07565403B2

    公开(公告)日:2009-07-21

    申请号:US10609818

    申请日:2003-06-30

    IPC分类号: G06F15/16

    摘要: The present invention relates to a system and method to facilitate efficient and automated processing of messages. A bulk filter is provided to categorize one or more received messages according to a range of classification, the range spanning from at least a bulk classification of values to at least a non-bulk classification of values. A second filter is provided to further classify the received messages in order to automatically facilitate processing of the messages. The range of classification includes a continuum of values based on a likelihood that the received messages are determined to tend toward or fall within the bulk classification of values or toward/within the non-bulk classification of values. Also, the bulk filter or filters can include an adjustable threshold setting to determine or define differences between the bulk classifications and the non-bulk classifications. Various combinations of filters are possible including multiple filter arrangements, parallel arrangements, cascaded arrangements, and other arrangements to facilitate filtering and sorting of messages in order that users can more efficiently process such information in a timely manner. Applications include the enhancement of classification procedures for identifying urgent or important email from non-urgent or non-important email, with the combination of bulk-email filters with urgency or importance filters in cascaded and parallel filtering methodologies.

    摘要翻译: 本发明涉及一种促进消息的有效和自动处理的系统和方法。 提供批量过滤器以根据分类范围对一个或多个接收到的消息进行分类,范围从至少大体分类的值到至少非批量分类的值。 提供第二滤波器以进一步对接收到的消息进行分类,以便自动地促进消息的处理。 分类范围包括基于接收到的消息被确定为倾向于或落入值的批量分类或朝向/在非批量分类值内的可能性的连续的值。 此外,批量过滤器或过滤器可以包括可调阈值设置,以确定或定义批量分类和非批量分类之间的差异。 滤波器的各种组合是可能的,包括多个滤波器布置,并行布置,级联布置以及便于过滤和排序消息的其它布置,以便用户能够更有效地及时地处理这些信息。 应用程序包括增强分类程序,用于从非紧急或非重要的电子邮件中识别紧急或重要的电子邮件,并将大量电子邮件过滤器与级联和并行过滤方法中的紧急或重要性过滤器相结合。

    Statistical models and methods to support the personalization of applications and services via consideration of preference encodings of a community of users
    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

    IPC分类号: G06F17/30 G06F7/00 G06Q30/02

    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。

    Reducing latencies in computing systems using probabilistic and/or decision-theoretic reasoning under scarce memory resources
    6.
    发明授权
    Reducing latencies in computing systems using probabilistic and/or decision-theoretic reasoning under scarce memory resources 有权
    使用在稀缺的内存资源下的概率和/或决策理论推理来减少计算系统中的延迟

    公开(公告)号:US08112755B2

    公开(公告)日:2012-02-07

    申请号:US11428231

    申请日:2006-06-30

    IPC分类号: G06F9/46

    摘要: Architecture that employs probabilistic and/or decision-theoretic model(s) of application usage to predict application use and in view of bounded or limited-availability memory. The model(s) is applied with cost-benefit analysis to guide memory management in an operating system, in particular, for both decisions about prefetching and memory retention versus deletion or “paging out” of memory of lower priority items, to free up space for higher value items. Contextual information is employed in addition to computer action monitoring for predicting next applications to be launched. Prefetching is optimized so as to minimize user perceived latencies.

    摘要翻译: 采用概率和/或决策理论的应用程序模型来预测应用程序使用以及有界或有限可用性内存的架构。 该模型应用成本效益分析来指导操作系统中的内存管理,特别是对于关于预取和内存保留的两个决定而言,与较低优先级项目的存储器的删除或“寻呼”有关,以释放空间 用于更高价值的物品。 除了用于预测下一个要启动的应用程序的计算机动作监控之外,还使用上下文信息。 优化预取以最小化用户感知的延迟。

    STATISTICAL MODELS AND METHODS TO SUPPORT THE PERSONALIZATION OF APPLICATIONS AND SERVICES VIA CONSIDERATION OF PREFERENCE ENCODINGS OF A COMMUNITY OF USERS
    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

    IPC分类号: G06F3/00 G06F3/048

    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。

    COMPUTING AND HARNESSING INFERENCES ABOUT THE TIMING, DURATION, AND NATURE OF MOTION AND CESSATION OF MOTION WITH APPLICATIONS TO MOBILE COMPUTING AND COMMUNICATIONS
    8.
    发明申请
    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
    运动和运动的时间,持续时间,运动性质以及移动计算和通信应用的计算和收敛感知

    公开(公告)号:US20100075639A1

    公开(公告)日:2010-03-25

    申请号:US12565834

    申请日:2009-09-24

    IPC分类号: H04M1/663 H04B1/38

    CPC分类号: H04W4/027 G08G1/01

    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。

    HARNESSING INFORMATION ABOUT THE TIMING OF A USER'S CLIENT-SERVER INTERACTIONS TO ENHANCE MESSAGING AND COLLABORATION SERVICES
    9.
    发明申请
    HARNESSING INFORMATION ABOUT THE TIMING OF A USER'S CLIENT-SERVER INTERACTIONS TO ENHANCE MESSAGING AND COLLABORATION SERVICES 有权
    关于用户客户端 - 服务器交互时间的加密信息,以增强消息传递和协作服务

    公开(公告)号:US20090299934A1

    公开(公告)日:2009-12-03

    申请号:US12476195

    申请日:2009-06-01

    摘要: A system and method is provided to facilitate communication and collaboration by considering the timing of a user's activities on one or more clients via accessing, from a centralized server, information about the user's client-server interactions. The systems and methods can harness existing protocols and data exchange used in legacy client-server applications for email, making available to one or more client-side message routing applications, information about a user's interactions with email across multiple clients. Applications include considering the time since the last client-server interaction to guide decisions about if, when, and how to route messages so as to limit the mobile relay of information a user has already seen, providing information to colleagues about a user's current or past “inbox presence,” and forecasting the time until a user will have access to a device or communication channel.

    摘要翻译: 提供了一种系统和方法,以通过从中央服务器访问关于用户的客户 - 服务器交互的信息考虑用户在一个或多个客户端上的活动的时间来促进通信和协作。 系统和方法可以利用传统客户端 - 服务器应用程序中用于电子邮件的现有协议和数据交换,使一个或多个客户端消息路由应用程序可用,关于用户与多个客户端之间的电子邮件交互的信息。 应用程序包括考虑自上次客户端 - 服务器交互以来的时间,以指导关于消息的路由,何时以及如何路由的决策,以限制用户已经看到的信息的移动中继,向同事提供关于用户当前或过去的信息 “收件箱存在”,并预测直到用户访问设备或通信通道的时间。

    Harnessing information about the timing of a user's client-server interactions to enhance messaging and collaboration services
    10.
    发明授权
    Harnessing information about the timing of a user's client-server interactions to enhance messaging and collaboration services 有权
    利用有关用户客户端 - 服务器交互时间的信息来增强消息传递和协作服务

    公开(公告)号:US08019834B2

    公开(公告)日:2011-09-13

    申请号:US12476195

    申请日:2009-06-01

    IPC分类号: G06F15/16

    摘要: A system and method is provided to facilitate communication and collaboration by considering the timing of a user's activities on one or more clients via accessing, from a centralized server, information about the user's client-server interactions. The systems and methods can harness existing protocols and data exchange used in legacy client-server applications for email, making available to one or more client-side message routing applications, information about a user's interactions with email across multiple clients. Applications include considering the time since the last client-server interaction to guide decisions about if, when, and how to route messages so as to limit the mobile relay of information a user has already seen, providing information to colleagues about a user's current or past “inbox presence,” and forecasting the time until a user will have access to a device or communication channel.

    摘要翻译: 提供了一种系统和方法,以通过从中央服务器访问关于用户的客户 - 服务器交互的信息考虑用户在一个或多个客户端上的活动的时间来促进通信和协作。 系统和方法可以利用传统客户端 - 服务器应用程序中用于电子邮件的现有协议和数据交换,使一个或多个客户端消息路由应用程序可用,关于用户与多个客户端之间的电子邮件交互的信息。 应用程序包括考虑自上次客户端 - 服务器交互以来的时间,以指导关于消息的路由,何时以及如何路由的决策,以限制用户已经看到的信息的移动中继,向同事提供关于用户当前或过去的信息 “收件箱存在”,并预测直到用户访问设备或通信通道的时间。