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    • 2. 发明申请
    • DISTRIBUTED SYSTEM AND METHODS FOR MODELING POPULATION-CENTRIC ACTIVITIES
    • 分布式系统和建模人口中心活动的方法
    • US20130254152A1
    • 2013-09-26
    • US13429139
    • 2012-03-23
    • Rui ZhangMaurice Kyojin ChuKurt E. PartridgeJames M. A. Begole
    • Rui ZhangMaurice Kyojin ChuKurt E. PartridgeJames M. A. Begole
    • G06N5/02G06F15/16
    • G06Q30/0631G06N20/00G06Q30/0201
    • A client device can receive information about a population to which a user belongs. During operation, the client device determines information about a user, determines a group identifier for the user, and communicates the determined information about the local user and the group identifier to a group-modeling server. The client device then receives a group-activity model that corresponds to the group identifier, and generates a user-activity model for the local user based on the group-activity model and the determined information about the local user. The client device uses the user-activity model to compute an activity probability for a corresponding target activity. The group-modeling server receives user information from a plurality of client devices of a group, and generates a group-activity model for the group based on the user information. The server then sends the group-activity model to users of the identified group.
    • 客户端设备可以接收有关用户所属的群体的信息。 在操作期间,客户端设备确定关于用户的信息,确定用户的组标识符,并将确定的关于本地用户和组标识符的信息传送到组建模服务器。 然后,客户端设备接收与组标识符相对应的组活动模型,并且基于组活动模型和所确定的关于本地用户的信息为本地用户生成用户活动模型。 客户端设备使用用户活动模型来计算相应目标活动的活动概率。 组建模服务器从组的多个客户端设备接收用户信息,并且基于用户信息生成组的组活动模型。 然后,服务器将组活动模型发送给所识别组的用户。
    • 4. 发明授权
    • Link target accuracy in touch-screen mobile devices by layout adjustment
    • 触摸屏移动设备的目标准确度通过布局调整来实现
    • US08294669B2
    • 2012-10-23
    • US11986177
    • 2007-11-19
    • Kurt E. PartridgeMark W. NewmanJames M. A. Begole
    • Kurt E. PartridgeMark W. NewmanJames M. A. Begole
    • G06F3/033
    • G06F3/04883
    • One embodiment of the present invention provides a system for improving link target accuracy for a mobile browser with a touch-screen display. The system receives a page with a plurality of selectable text objects and adjusts the page layout. The method further includes placing a number of targets within the web page. Each target is associated with one selectable text object, and the selectable text object can only be activated by the target. The targets are sufficiently separated from each other, thus allowing a user to hold the touch-screen display and select the selectable text object by tapping on the target with substantial accuracy. Another embodiment of the present invention allows a user to select a selectable text object by performing a gesture.
    • 本发明的一个实施例提供了一种用于利用触摸屏显示来改善移动浏览器的链接目标精度的系统。 系统接收具有多个可选文本对象的页面并调整页面布局。 该方法还包括将许多目标放置在网页内。 每个目标与一个可选择的文本对象相关联,并且可选文本对象只能由目标激活。 目标彼此充分分离,从而允许用户握住触摸屏显示并且以相当高的精度点击目标来选择可选择的文本对象。 本发明的另一实施例允许用户通过执行手势来选择可选择的文本对象。
    • 5. 发明授权
    • Automatically triggering predictions in recommendation systems based on an activity-probability threshold
    • 基于活动概率阈值自动触发推荐系统中的预测
    • US08732097B2
    • 2014-05-20
    • US13402751
    • 2012-02-22
    • Rui ZhangKurt E. PartridgeRobert R. PriceJames M. A. BegoleMaurice K. Chu
    • Rui ZhangKurt E. PartridgeRobert R. PriceJames M. A. BegoleMaurice K. Chu
    • G06F15/18
    • G06Q10/04G06Q30/02
    • A recommender system determines a probability threshold for an activity-prediction model, and uses the probability threshold to predict whether a user is performing a target activity. To determine the probability threshold, the system computes a set of activity probabilities based on contextual information for a set of historical activities, and based on an activity-prediction model for a target activity. The system then compares a set of probability thresholds with the set of activity probabilities to determine a prediction success rate for each probability threshold. The system computes a utility score for each probability threshold based on the prediction success rates and a utility function, and selects a probability threshold whose utility score is optimal amongst the utility scores of the set of thresholds and greater than or equal to a baseline utility score. The system then assigns the probability threshold to the activity-prediction model.
    • 推荐系统确定活动预测模型的概率阈值,并使用概率阈值来预测用户是否正在执行目标活动。 为了确定概率阈值,系统基于一组历史活动的上下文信息,并且基于目标活动的活动预测模型来计算一组活动概率。 然后,系统将一组概率阈值与活动概率集合进行比较,以确定每个概率阈值的预测成功率。 该系统基于预测成功率和效用函数来计算每个概率阈值的效用得分,并且选择一个概率阈值,其效用评分在阈值集合的效用评分之间是最佳的,并且大于或等于基准效用得分 。 系统然后将概率阈值分配给活动预测模型。
    • 7. 发明申请
    • SUPPORT FOR SHARING ABSTRACT APPLICATIONS
    • 支持共享应用程序
    • US20080155068A1
    • 2008-06-26
    • US11614663
    • 2006-12-21
    • Mark W. NewmanKurt E. PartridgeAme M. ElliottJames M. A. BegoleSang-Do ParkJun-Hyeong Kim
    • Mark W. NewmanKurt E. PartridgeAme M. ElliottJames M. A. BegoleSang-Do ParkJun-Hyeong Kim
    • G06F15/177
    • H04L67/34H04L12/281
    • A computer-controlled method to configure a network of devices acquires a specific instance of an abstract application of at least one component in a first network, captures and stores fields of the component in the abstract application, classifies the fields as to how the fields are to be used in matching, provides field values for fields within each component to be used in matching, and store the fields, components and values as a general instance of the abstract application. An apparatus has an acquisition mechanism to acquire a specific instance of an abstract application of at least one component in a first network, a generalization mechanism to identify and generalize fields and values associated with the component, and a store to store the fields, components and values as a general instance of the abstract application. A computer-controlled method to configure a network of devices receives, at a network, a general instance of an abstract application having fields of at least one component and fields having values, identifies at least one component in the network having at least one of the fields in the general instance, and using the fields and values to resolve the general instance into a specific instance of the abstract application in the network. An apparatus has a discovery mechanism for discovering a generalized instance of an abstract application, the abstract application having at least one component having fields and the fields having values, and an importation mechanism to identify a component in the network having at least one of the fields in the general instance and to use the fields and values to resolve the general instance into a specific instance of the abstract application in the network.
    • 用于配置设备网络的计算机控制方法获取第一网络中的至少一个组件的抽象应用的特定实例,在抽象应用程序中捕获并存储组件的字段,对字段是如何 用于匹配,为要匹配的每个组件中的字段提供字段值,并将字段,组件和值作为抽象应用程序的一般实例存储。 一种装置具有获取机制,用于获取第一网络中的至少一个组件的抽象应用的特定实例,用于识别和概括与组件相关联的字段和值的泛化机制,以及存储区域,组件和 值作为抽象应用程序的一般实例。 用于配置设备网络的计算机控制方法在网络处接收具有至少一个组件和具有值的字段的抽象应用的一般实例,以识别网络中的至少一个组件,其中至少一个组件具有 一般实例中的字段,并使用字段和值将一般实例解析为网络中抽象应用程序的特定实例。 一种装置具有用于发现抽象应用的广义实例的发现机制,所述抽象应用具有至少一个具有字段的组件,并且所述字段具有值,以及用于识别网络中具有至少一个字段的组件的导入机制 在一般情况下,并使用字段和值将一般实例解析为网络中抽象应用程序的特定实例。
    • 9. 发明授权
    • Recommender system with AD-HOC, dynamic model composition
    • 推荐系统采用AD-HOC,动态模型组成
    • US07836001B2
    • 2010-11-16
    • US11855547
    • 2007-09-14
    • Nicolas B. DucheneautKurt E. PartridgeJames M. A. BegoleRobert R. Price
    • Nicolas B. DucheneautKurt E. PartridgeJames M. A. BegoleRobert R. Price
    • G06F17/00G06N5/00G06N5/02
    • G06Q30/02
    • One embodiment of the present invention provides recommender system for generating a recommendation of an item by combining a set of utility models adaptively to facilitate a decision-making process. The system includes a utility model database containing the set of utility models and a query module for receiving at least one query about the item from a querying entity. The system also includes a rule engine to specify a subset of utility models to be applied to the item and to specify a weight function of the specified utility models. Further included in the system is a set generator coupled to the utility model database, the query module, and the rule engine. The set generator computes a set of ratings by applying each of the utility model in the subset to the item and generates an overall rating for the item based on the weight function. The system further a communication module to return the overall rating.
    • 本发明的一个实施例提供了一种推荐系统,用于通过自适应地组合一组实用新型来产生项目的推荐,以促进决策过程。 该系统包括实用新型数据库,该实用新型数据库包含一组实用新型,以及用于从查询实体接收关于该项目的至少一个查询的查询模块。 该系统还包括规则引擎,用于指定要应用于项目的实用新型的子集,并指定指定的实用新型的权重函数。 系统中还包括一个耦合到实用新型数据库,查询模块和规则引擎的集合生成器。 集合生成器通过将子集中的每个实用新型应用于项目来计算一组评级,并且基于权重函数生成该项目的总体评级。 该系统还提供一个通信模块来返回整体评级。