PERFORMANCE-EFFICIENT SYSTEM AND METHOD FOR SAMPLING USERS FOR POPULATION-CENTRIC ACTIVITY MODELING
    1.
    发明申请
    PERFORMANCE-EFFICIENT SYSTEM AND METHOD FOR SAMPLING USERS FOR POPULATION-CENTRIC ACTIVITY MODELING 有权
    用于人口中心活动建模的采样效能系统和方法

    公开(公告)号:US20130262216A1

    公开(公告)日:2013-10-03

    申请号:US13436348

    申请日:2012-03-30

    IPC分类号: G06Q30/02 G06F17/10 G06F7/60

    CPC分类号: G06Q30/0631 G06Q30/02

    摘要: A performance-efficient activity-modeling system generates a group-activity model for a population group using information from an optimal subset of users of the population group. During operation, the system computes utility scores for a set of users based on a utility-scoring function, such that a respective utility score indicates a usefulness or penalty of collecting a corresponding user's contextual information. The system then selects, from the set of users, a subset of users with highest utility scores, and receives user information from each of the selected users. The system generates the group-activity model based on the user information received from the selected users.

    摘要翻译: 一个高性能的活动建模系统使用来自群体组的最佳用户子集的信息为群体组生成群体活动模型。 在操作期间,系统基于效用评分函数计算一组用户的效用评分,使得相应的效用评分指示收集相应用户的上下文信息的有用性或惩罚。 然后,系统从用户组中选择具有最高实用程度分数的用户的子集,并且从每个所选择的用户接收用户信息。 系统基于从所选用户接收的用户信息生成组活动模型。

    Performance-efficient system and method for sampling users for population-centric activity modeling
    2.
    发明授权
    Performance-efficient system and method for sampling users for population-centric activity modeling 有权
    针对以人口为中心的活动建模,用户抽样的高效系统和方法

    公开(公告)号:US08566165B1

    公开(公告)日:2013-10-22

    申请号:US13436348

    申请日:2012-03-30

    IPC分类号: G06Q30/00 G06Q10/00

    CPC分类号: G06Q30/0631 G06Q30/02

    摘要: A performance-efficient activity-modeling system generates a group-activity model for a population group using information from an optimal subset of users of the population group. During operation, the system computes utility scores for a set of users based on a utility-scoring function, such that a respective utility score indicates a usefulness or penalty of collecting a corresponding user's contextual information. The system then selects, from the set of users, a subset of users with highest utility scores, and receives user information from each of the selected users. The system generates the group-activity model based on the user information received from the selected users.

    摘要翻译: 一个高性能的活动建模系统使用来自群体组的最佳用户子集的信息为群体组生成群体活动模型。 在操作期间,系统基于效用评分函数计算一组用户的效用评分,使得相应的效用评分指示收集相应用户的上下文信息的有用性或惩罚。 然后,系统从用户组中选择具有最高实用程度分数的用户的子集,并且从每个所选择的用户接收用户信息。 系统基于从所选用户接收的用户信息生成组活动模型。

    DISTRIBUTED SYSTEM AND METHODS FOR MODELING POPULATION-CENTRIC ACTIVITIES
    3.
    发明申请
    DISTRIBUTED SYSTEM AND METHODS FOR MODELING POPULATION-CENTRIC ACTIVITIES 审中-公开
    分布式系统和建模人口中心活动的方法

    公开(公告)号:US20130254152A1

    公开(公告)日:2013-09-26

    申请号:US13429139

    申请日:2012-03-23

    IPC分类号: G06N5/02 G06F15/16

    摘要: 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.

    摘要翻译: 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。

    PERFORMANCE-EFFICIENT SYSTEM FOR PREDICTING USER ACTIVITIES BASED ON TIME-RELATED FEATURES
    4.
    发明申请
    PERFORMANCE-EFFICIENT SYSTEM FOR PREDICTING USER ACTIVITIES BASED ON TIME-RELATED FEATURES 有权
    基于时间相关特征预测用户活动的性能有效系统

    公开(公告)号:US20130226856A1

    公开(公告)日:2013-08-29

    申请号:US13403129

    申请日:2012-02-23

    IPC分类号: G06N5/02

    摘要: A recommender system uses an activity decision tree to model the changes in a user's behavior according to a plurality of time-related features. The system determines historical activities for the user, and generates a decision tree for the user's historical activities. Each leaf node of the decision tree is associated with an activity-prediction model that computes a probability for a corresponding activity. The system selects a path of the decision tree from a root node to a leaf node of the decision tree based on a target time. The selected path traverses two or more non-leaf nodes that are each associated with a temporal decision model that compares the target time against a temporal classifier. The system then determines a probability for a user activity based on an activity-prediction model of the selected path.

    摘要翻译: 推荐系统使用活动决策树来根据多个时间相关特征对用户行为的变化进行建模。 系统确定用户的历史活动,并为用户的历史活动生成决策树。 决策树的每个叶节点与计算相应活动概率的活动预测模型相关联。 系统基于目标时间从决策树的根节点到叶节点选择决策树的路径。 所选择的路径遍历两个或多个非叶节点,每个非叶节点与时间决策模型相关联,时间决策模型将目标时间与时间分类器进行比较。 然后,系统基于所选路径的活动预测模型来确定用户活动的概率。

    Performance-efficient system for predicting user activities based on time-related features
    5.
    发明授权
    Performance-efficient system for predicting user activities based on time-related features 有权
    基于时间相关功能预测用户活动的高效系统

    公开(公告)号:US09183497B2

    公开(公告)日:2015-11-10

    申请号:US13403129

    申请日:2012-02-23

    IPC分类号: G06N5/02 G06N7/00 G06Q30/02

    摘要: A recommender system uses an activity decision tree to model the changes in a user's behavior according to a plurality of time-related features. The system determines historical activities for the user, and generates a decision tree for the user's historical activities. Each leaf node of the decision tree is associated with an activity-prediction model that computes a probability for a corresponding activity. The system selects a path of the decision tree from a root node to a leaf node of the decision tree based on a target time. The selected path traverses two or more non-leaf nodes that are each associated with a temporal decision model that compares the target time against a temporal classifier. The system then determines a probability for a user activity based on an activity-prediction model of the selected path.

    摘要翻译: 推荐系统使用活动决策树来根据多个时间相关特征对用户行为的变化进行建模。 系统确定用户的历史活动,并为用户的历史活动生成决策树。 决策树的每个叶节点与计算相应活动概率的活动预测模型相关联。 系统基于目标时间从决策树的根节点到叶节点选择决策树的路径。 所选择的路径遍历两个或多个非叶节点,每个非叶节点与时间决策模型相关联,时间决策模型将目标时间与时间分类器进行比较。 然后,系统基于所选路径的活动预测模型来确定用户活动的概率。

    Automatically triggering predictions in recommendation systems based on an activity-probability threshold
    6.
    发明授权
    Automatically triggering predictions in recommendation systems based on an activity-probability threshold 有权
    基于活动概率阈值自动触发推荐系统中的预测

    公开(公告)号:US08732097B2

    公开(公告)日:2014-05-20

    申请号:US13402751

    申请日:2012-02-22

    IPC分类号: G06F15/18

    CPC分类号: G06Q10/04 G06Q30/02

    摘要: 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.

    摘要翻译: 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。

    AUTOMATICALLY TRIGGERING PREDICTIONS IN RECOMMENDATION SYSTEMS BASED ON AN ACTIVITY-PROBABILITY THRESHOLD
    7.
    发明申请
    AUTOMATICALLY TRIGGERING PREDICTIONS IN RECOMMENDATION SYSTEMS BASED ON AN ACTIVITY-PROBABILITY THRESHOLD 有权
    基于活动可靠性阈值的建议系统自动触发预测

    公开(公告)号:US20130218825A1

    公开(公告)日:2013-08-22

    申请号:US13402751

    申请日:2012-02-22

    IPC分类号: G06N7/02

    CPC分类号: G06Q10/04 G06Q30/02

    摘要: 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.

    摘要翻译: 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。

    Method and Device to Operate Phone with a Single Key
    9.
    发明申请
    Method and Device to Operate Phone with a Single Key 审中-公开
    用单键操作手机的方法和设备

    公开(公告)号:US20170034330A1

    公开(公告)日:2017-02-02

    申请号:US15283455

    申请日:2015-03-30

    申请人: Rui Zhang

    发明人: Yimin Zhang Rui Zhang

    摘要: The present invention discloses a method to operate phone using a single key, first provide method to form ‘key value’: (1) When the key is just closed, plus 1 to the ‘key value’, (2) When the key closing time is greater than time t1, form ‘closing key value’, (3) When the key closing time is smaller than t1 and the immediate key releasing time is greater than t2, store the key value as ‘releasing key value’, (4) When the key closing time is smaller than t1 and the immediate key releasing time is smaller than t2, skip to step (1). The ‘releasing key values’ can be used to represent the numerical and alphabetical keys on typical keypad of phone, while the ‘closing key values’ can be used to represent the function key on typical keypad of phone, so that the complete function of a typical phone keypad can be realized using only one key. Therefore, a phone can be made very small, which can be especially useful when installed on small Bluetooth device that connects to phone, since not only can it answer incoming phone calls, but also making outgoing phone calls.

    摘要翻译: 本发明公开了一种使用单一键操作电话的方法,首先提供形成“键值”的方法:(1)当键刚刚关闭时,加上1键到“键值”,(2)当键关闭时 时间大于时间t1,形成“关闭键值”,(3)当键关闭时间小于t1,即时键释放时间大于t2时,将键值存储为“释放键值”,(4) )当钥匙闭合时间小于t1且紧急钥匙释放时间小于t2时,请跳到步骤(1)。 “释放键值”可用于表示电话典型键盘上的数字和字母键,而“关闭键值”可用于表示电话典型键盘上的功能键,从而完成 典型的电话键盘只能用一个键来实现。 因此,手机可以做得非常小,当安装在连接到手机的小型蓝牙设备上时,这可能特别有用,因为它不仅可以应答来电,而且拨出电话。

    PRESSURE SENSING DEVICE
    10.
    发明申请
    PRESSURE SENSING DEVICE 有权
    压力传感装置

    公开(公告)号:US20170010166A1

    公开(公告)日:2017-01-12

    申请号:US15011456

    申请日:2016-01-29

    申请人: Jinyu Zhang Rui Zhang

    发明人: Jinyu Zhang Rui Zhang

    IPC分类号: G01L9/00 G06F3/041

    CPC分类号: G01L19/0084 G01L9/0044

    摘要: A pressure sensing device is disclosed in the present disclosure. The pressure sensing device includes a bottom plate, a flexible shell and a MEMS pressure sensor. The flexible shell covers the bottom plate for forming a hermetical cavity, and the MEMS pressure sensor is accommodated in the hermetical cavity. Air in the hermetical cavity is compressed when the flexible shell is pressed, the MEMS pressure sensor is configured for detecting variation of an air pressure within the hermetical cavity when the flexible shell is pressed, and convert the variation of the air pressure into an electric signal.

    摘要翻译: 在本公开中公开了压力感测装置。 压力感测装置包括底板,柔性壳和MEMS压力传感器。 柔性壳覆盖用于形成密封腔的底板,并且MEMS压力传感器容纳在密封腔中。 当压缩弹性壳体时,气密腔中的空气被压缩,MEMS压力传感器构造成用于在柔性壳体被按压时检测气密腔内的空气压力的变化,并将空气压力的变化转换为电信号 。