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    • 2. 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
    • 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
    • US20050132014A1
    • 2005-06-16
    • US10882867
    • 2004-06-30
    • Eric HorvitzJohnson ApacibleMurugesan Subramani
    • Eric HorvitzJohnson ApacibleMurugesan Subramani
    • G06F17/30G06F3/00G06F3/048G06F9/44G06F9/445G06F13/00G06F15/00G06F15/16G06F15/173G06Q30/00G06Q99/00
    • G06Q30/02
    • 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.
    • 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。
    • 5. 发明授权
    • Integrating specialized knowledge sources into a general search service
    • 将专业知识来源整合到一般搜索服务中
    • US08732222B2
    • 2014-05-20
    • US12827370
    • 2010-06-30
    • Eric HorvitzJohnson Apacible
    • Eric HorvitzJohnson Apacible
    • G06F7/00G06F17/00G06F17/30
    • G06F17/30702G06N5/043G06N99/005
    • Embodiments are described for a system for integrating expert sources of knowledge into a general search service. The method can include a general search engine interface to receive a search query with at least one search term from a user. An expert knowledge engine can enable retrieval of expert information and analyzes. A predictive model module can be used to determine a probability that an expert knowledge engine may provide a valuable response to the query. The search query can be routed to the expert knowledge engine based on a cost-benefit analysis. A query reformulation module can reformulate a query for use by the expert knowledge engine. A display module can be employed to combine the expert search results with other search results.
    • 描述了用于将专家知识来源整合成一般搜索服务的系统的实施例。 该方法可以包括通用搜索引擎接口,用于从用户接收具有至少一个搜索词的搜索查询。 专家知识引擎可以检索专家信息和分析。 可以使用预测模型模块来确定专家知识引擎可以向查询提供有价值的响应的概率。 搜索查询可以基于成本效益分析路由到专家知识引擎。 查询重组模块可重新构建专家知识引擎使用的查询。 可以使用显示模块来组合专家搜索结果与其他搜索结果。
    • 6. 发明申请
    • INTEGRATING SPECIALIZED KNOWLEDGE SOURCES INTO A GENERAL SEARCH SERVICE
    • 将专业知识来源整合到一般搜索服务中
    • US20120005148A1
    • 2012-01-05
    • US12827370
    • 2010-06-30
    • Eric HorvitzJohnson Apacible
    • Eric HorvitzJohnson Apacible
    • G06N5/02
    • G06F17/30702G06N5/043G06N99/005
    • Embodiments are described for a system for integrating expert sources of knowledge into a general search service. The method can include a general search engine interface to receive a search query with at least one search term from a user. An expert knowledge engine can enable retrieval of expert information and analyses. A predictive model module can be used to determine a probability that an expert knowledge engine may provide a valuable response to the query. The search query can be routed to the expert knowledge engine based on a cost-benefit analysis. A query reformulation module can reformulate a query for use by the expert knowledge engine. A display module can be employed to combine the expert search results with other search results.
    • 描述了用于将专家知识来源整合成一般搜索服务的系统的实施例。 该方法可以包括通用搜索引擎接口,用于从用户接收具有至少一个搜索词的搜索查询。 专家知识引擎可以检索专家信息和分析。 可以使用预测模型模块来确定专家知识引擎可以向查询提供有价值的响应的概率。 搜索查询可以基于成本效益分析路由到专家知识引擎。 查询重组模块可重新构建专家知识引擎使用的查询。 可以使用显示模块来组合专家搜索结果与其他搜索结果。
    • 7. 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。
    • 8. 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。
    • 9. 发明授权
    • Routing, alerting, and transportation guidance based on preferences and learned or inferred risks and desirabilities
    • 基于偏好和学习或推断的风险和需求的路由,警报和交通指导
    • US09086292B2
    • 2015-07-21
    • US12493131
    • 2009-06-26
    • Eric HorvitzJohn Krumm
    • Eric HorvitzJohn Krumm
    • G01C21/34G01C21/00G01C21/36
    • G01C21/3484G01C21/3697
    • Techniques and systems are disclosed that provide a risk-based assessment for a user based on user location information. Incident data is acquired for incidents that involve potential risks (e.g., to people and/or property) from a plurality of locations and contexts, considering such factors as date, time, weather, traffic, and velocity. The incident data is matched to the user's location and context directly or indirectly to provide one or more potential outcomes of interest (e.g., accidents, injuries, fatalities), and inferences regarding the likelihood of events are made available. These measures are compared to desired risk thresholds for the user. In one embodiment, routes, times, and conditions of travel may be preferred over others routes, times, and conditions. In another embodiment, users may be notified of a condition or a vehicle's maximum velocity may be reduced when the matched incident data meets/exceeds a user's risk threshold.
    • 公开了基于用户位置信息为用户提供基于风险的评估的技术和系统。 考虑到诸如日期,时间,天气,交通和速度等因素,从多个位置和情境中获取涉及潜在风险(例如对人和/或财产)的事件的事件数据。 事件数据与用户的位置和环境直接或间接地匹配,以提供一个或多个潜在的感兴趣的结果(例如,事故,伤害,死亡),并且关于事件的可能性可用的推论。 将这些措施与用户的期望风险阈值进行比较。 在一个实施例中,旅行的路线,时间和条件可能优于其他路线,时间和条件。 在另一个实施例中,可以向用户通知条件,或者当匹配的事件数据满足/超过用户的风险阈值时,可以减少车辆的最大速度。