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    • 51. 发明申请
    • Exploratory Search Technique
    • 探索性搜索技术
    • US20080319975A1
    • 2008-12-25
    • US11767142
    • 2007-06-22
    • Daniel Scott MorrisMeredith June MorrisGina Danielle VenoliaRyen William WhiteEric HorvitzSteven M. Drucker
    • Daniel Scott MorrisMeredith June MorrisGina Danielle VenoliaRyen William WhiteEric HorvitzSteven M. Drucker
    • G06F17/30
    • G06F3/048G06F16/951G06F2203/04803
    • A technique for the creation of synthesized results from multi-query searches to provide more relevant information to the user in a more useful format and to discard or reduce in relevancy information that is not so useful. It allows a user to define the boundaries of the exploratory search before it starts or retroactively define which queries belong to the search. It can imply which queries belong to the search based on parameters in the queries or results. It also provides mechanisms for supporting exploratory searches including: saving/restoring search context; search-specific query history; a “keepers” bin for storing useful results; elimination of redundant results; re-ranking of common search results; integration of searching with navigation; pivoting on search results; collaboration among multiple searchers; user-generated content; generation of hypotheses; re-executing queries and executing standing queries; multi-monitor searching and automatic preparation of search summaries. User interfaces for conducting multi-query searches are also provided.
    • 一种用于从多查询搜索创建合成结果的技术,以更有用的格式向用户提供更多的相关信息,并丢弃或减少不那么有用的相关性信息。 它允许用户在开始之前定义探索性搜索的边界,或者追溯地定义哪些查询属于搜索。 它可以暗示哪些查询属于基于查询或结果中的参数的搜索。 它还提供支持探索性搜索的机制,包括:保存/恢复搜索环境; 搜索专用查询记录; 用于存储有用结果的“管理员”仓; 消除冗余结果; 共同搜索结果重新排序; 搜索与导航的整合; 在搜索结果上转动; 多个搜索者之间的协作; 用户生成内容; 一代假设; 重新执行查询并执行常规查询; 多监视搜索和自动准备搜索摘要。 还提供了用于进行多查询搜索的用户界面。
    • 52. 发明授权
    • Integration of a computer-based message priority system with mobile electronic devices
    • 将基于计算机的消息优先系统与移动电子设备集成
    • US07444384B2
    • 2008-10-28
    • US10795695
    • 2004-03-08
    • Eric Horvitz
    • Eric Horvitz
    • G06F15/16
    • H04L51/24G06Q10/107H04L51/12H04L51/26H04L51/34H04W4/025H04W4/12
    • Methods for integrating mobile electronic devices with computational methods for assigning priorities to documents are disclosed. In one embodiment, a computer-implemented method first receives a new document such as an electronic mail message. The method assigns a priority to the document, based on a text classifier such as a Bayesian classifier or a support-vector machine classifier. The method then alerts a user on an electronic device, such as a pager or a cellular phone, based on an alert criteria that can be made sensitive to information about the location, inferred task, and focus of attention of the user. Such information can be inferred under uncertainty or can be accessed directly from online information sources. One embodiment makes use of information from an online calendar to control the criteria used to make decisions about relaying information to a mobile device.
    • 公开了将移动电子设备与用于为文档分配优先级的计算方法集成的方法。 在一个实施例中,计算机实现的方法首先接收诸如电子邮件消息的新文档。 该方法基于文本分类器(如贝叶斯分类器或支持向量机分类器)为文档分配优先级。 该方法然后基于可以对关于用户的位置,推断的任务和关注焦点的信息敏感的警报标准来向诸如寻呼机或蜂窝电话的电子设备上的用户发出警报。 这种信息可以在不确定性下推断,或者可以直接从在线信息来源访问。 一个实施例利用来自在线日历的信息来控制用于对移动设备进行中继信息的决定。
    • 53. 发明申请
    • Sharing, Accessing, and Pooling of Personal Preferences for Transient Environment Customization
    • 临时环境定制的个人偏好的共享,访问和集合
    • US20080155429A1
    • 2008-06-26
    • US11613943
    • 2006-12-20
    • Alexander FrankAmit MitalEric HorvitzDawson YeeMiller T. AbelShai GudayAlexander S. StojanovicMichael J. Sinclair
    • Alexander FrankAmit MitalEric HorvitzDawson YeeMiller T. AbelShai GudayAlexander S. StojanovicMichael J. Sinclair
    • G06F3/048
    • H04L12/2829
    • Technologies for transient personal preference customization of environments, devices and systems based on user preference data. Such technologies enable users to maintain personal preference data on mobile or other devices, such as cell phones, personal data assistants (“PDA”), or the like, such that the data can be transferred to devices and systems capable of conforming parameters under their control to the preferences expressed in the data. For example, a frequent traveler may define preferences regarding room temperature, ambient lighting, music style, and the like and maintain these preferences in a mobile device such as a cell phone. Upon arrival at a hotel room, for example, the systems of the hotel may access the preference data and adjust the parameters of the room, and the devices and systems in the room, to conform to the user's preferences while the user is in the room or checked into the hotel. Such customization may be transient in that parameters may be returned to a default or other setting once a user is no longer present, or when another user is present.
    • 基于用户偏好数据的环境,设备和系统的临时个人偏好定制技术。 这样的技术使得用户能够在诸如蜂窝电话,个人数据助理(PDA)等的移动或其他设备上保持个人偏好数据,使得数据可以被传送到能够使其符合他们的参数的设备和系统 控制数据中表达的偏好。 例如,频繁旅行者可以定义关于室温,环境照明,音乐风格等的偏好,并且将这些偏好保持在诸如手机的移动设备中。 例如,在到达酒店房间时,酒店的系统可以访问偏好数据并调整房间的参数以及房间中的设备和系统,以在用户在房间中符合用户的偏好 或入住酒店。 这样的定制可能是短暂的,因为一旦用户不再存在或者当另一个用户存在时,参数可以返回到默认或其他设置。
    • 56. 发明申请
    • METHODS AND ARCHITECTURE FOR CROSS-DEVICE ACTIVITY MONITORING, REASONING, AND VISUALIZATION FOR PROVIDING STATUS AND FORECASTS OF A USERS' PRESENCE AND AVAILABILITY
    • 跨设备活动监测,理论和可视化的方法和架构,用于提供用户状态和可用性的状态和预测
    • US20070071209A1
    • 2007-03-29
    • US11469148
    • 2006-08-31
    • Eric HorvitzPaul KochJohnson ApacibleCarl Kadie
    • Eric HorvitzPaul KochJohnson ApacibleCarl Kadie
    • H04M3/42
    • G06Q10/109
    • The present invention relates to a system and methodology to facilitate collaboration and communications between entities such as between automated applications, parties to a communication 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 users' presence and availability. Presence forecasts include a user's current or future locations at different levels of location precision and usage 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. The predictive models are constructed 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. Various applications are provided that employ the presence and availability information supplied by the models in order to facilitate collaboration and communications between entities.
    • 本发明涉及促进实体之间的协作和通信的系统和方法,例如在自动应用,通信方和/或其组合之间。 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。 存在预测包括用户在不同级别的位置精度和不同设备或应用的使用的当前或将来的位置。 可用性评估包括关于以不同方式中断用户的成本以及用户当前或未来访问一个或多个通信信道的推论。 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来收集的数据构建预测模型。 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。
    • 57. 发明申请
    • Sensing, storing, indexing, and retrieving data leveraging measures of user activity, attention, and interest
    • 利用用户活动,注意力和兴趣的度量来感知,存储,索引和检索数据
    • US20070016553A1
    • 2007-01-18
    • US11172121
    • 2005-06-29
    • Susan DumaisEric Horvitz
    • Susan DumaisEric Horvitz
    • G06F17/30G06F7/00
    • H04L51/34H04L67/22Y10S707/99932
    • Various components and processes are provided to enable data processing on multiple data types where aspects of the history of user activity, attention, interest, location, or other interaction with data is determined and employed to enhance information storage and access. In one particular aspect, a data manipulation system is provided. The system includes one or more data items that are associated with one or more tags and indicate at least one user's interaction or activity with the data items. A manipulation tool that processes the data items to determine a subset of data items based at least in part on the user's interaction with the data items. Methods are described for using the manipulation tool to weight terms in an index, to compress indexes, to influence the rank of items returned in a search, to generate additional queries for data items either automatically or with user direction, or for improved presentation of data items.
    • 提供了各种组件和过程,以便能够确定多种数据类型的数据处理,其中确定用户活动,注意力,兴趣,位置或其他与数据的交互的历史的方面以增强信息存储和访问。 在一个特定方面,提供了数据操纵系统。 系统包括与一个或多个标签相关联的一个或多个数据项,并指示至少一个用户与数据项的交互或活动。 操纵工具,其至少部分地基于用户与数据项的交互来处理数据项以确定数据项的子集。 描述了使用操纵工具对索引中的权重进行加权,压缩索引,影响搜索中返回的项目的等级的方法,以自动地或与用户方向生成对数据项的附加查询,或用于改进数据呈现 物品。
    • 58. 发明申请
    • SYSTEM FOR PERFORMING CONTEXT-SENSITIVE DECISIONS ABOUT IDEAL COMMUNICATION MODALITIES CONSIDERING INFORMATION ABOUT CHANNEL RELIABILITY
    • 考虑信道可靠性信息的理想通信模式执行上下文敏感性决策系统
    • US20060291580A1
    • 2006-12-28
    • US11469100
    • 2006-08-31
    • Eric Horvitz
    • Eric Horvitz
    • H04L23/02
    • H04L1/20H04L69/24
    • A system and method for identifying ideal channels for communications based on an analysis of communication channel reliability, communicating party preferences, and communicating party contexts is provided. The system attempts to optimize the utility of a communication based on inferred or directly accessed channel reliability data, communicating party preferences and communicating party contexts. Such optimization can be achieved using reliabilities, preferences and policies concerning handling the attempted contact based on a deterministic specification or through inferring reliability, context, content and task under uncertainty by employing decision-theoretic inferences. The methods may consider channels currently available as well as channels available at later times. Thus, the service can include automated rescheduling of communications based on a consideration of forecasts of reliability and availability. The approach may include the use of forecasts about the time required for a communication and the likelihood that a connection will be dropped or will lose fidelity over this period of time. The methods may also include a consideration of metadata within a standard schema that is transmitted along with a communication attempt, the metadata representing information about attributes like the potential communication channels, the identity of the contactor, the task at hand, and the context of the communicating parties. The invocation of the communication service may be performed in a variety of ways, including single button invocations, and via a communication service that is more deeply integrated with other applications and functionalities.
    • 提供了一种基于通信信道可靠性分析,通信方偏好和通信方背景识别理想通信信道的系统和方法。 系统尝试基于推断或直接访问的信道可靠性数据,通信方偏好和通信方上下文来优化通信的效用。 可以使用依赖于确定性规范来处理尝试联系的可靠性,偏好和策略来实现这种优化,或通过使用决策理论推断来推断可靠性,上下文,内容和不确定性下的任务。 这些方法可能会考虑当前可用的频道以及以后可用的频道。 因此,该服务可以包括基于对可靠性和可用性的预测的考虑来自动重新安排通信。 该方法可能包括使用关于通信所需时间的预测,以及在这段时间内连接被丢弃或将失去保真度的可能性。 所述方法还可以包括与通信尝试一起发送的标准模式内的元数据的考虑,元数据表示关于诸如潜在通信信道的属性的信息,接触器的身份,手头的任务以及 沟通方 通信服务的调用可以以各种方式执行,包括单按钮调用,以及经由与其他应用和功能更深入地集成的通信服务。
    • 60. 发明申请
    • Traffic forecasting employing modeling and analysis of probabilistic interdependencies and contextual data
    • 流量预测采用建模和分析概率相互依赖关系和语境数据
    • US20060106530A1
    • 2006-05-18
    • US11171791
    • 2005-06-30
    • Eric HorvitzJohnson ApacibleRaman Sarin
    • Eric HorvitzJohnson ApacibleRaman Sarin
    • G06F19/00
    • G08G1/0104
    • Systems and methods are described for constructing predictive models, based on statistical machine learning, that can make forecasts about traffic flows and congestions, based on an abstraction of a traffic system into a set of random variables, including variables that represent the amount of time until there will be congestion at key troublespots and the time until congestions will resolve. Observational data includes traffic flows and dynamics, and other contextual data such as the time of day and day of week, holidays, school status, the timing and nature of major gatherings such as sporting events, weather reports, traffic incident reports, and construction and closure reports. The forecasting methods are used in alerting, the display graphical information about predictions about congestion on desktop on mobile devices, and in offline and real-time automated route recommendations and planning.
    • 描述了基于统计机器学习构建预测模型的系统和方法,其基于将交通系统抽象成一组随机变量,其中包括代表时间量的变量,直到 关键问题将会堵塞,直到拥堵才能解决。 观测数据包括交通流量和动态,以及诸如体育赛事,天气报告,交通事故报告和建筑等主要聚会的时间和性质等其他情景数据,如时间和星期几,假期,学校状况,以及 关闭报告。 预测方法用于警报,显示关于移动设备上台式机拥塞预测的图形信息,以及离线和实时自动路由建议和规划中的预测方法。