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1. 发明授权

US08732097B2 Automatically triggering predictions in recommendation systems based on an activity-probability threshold 有权
标题翻译：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
申请人： Rui Zhang , Kurt E. Partridge , Robert R. Price , James M. A. Begole , Maurice K. Chu
发明人： Rui Zhang , Kurt E. Partridge , Robert R. Price , James M. A. Begole , Maurice K. Chu
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。

2. 发明申请

US20130226856A1 PERFORMANCE-EFFICIENT SYSTEM FOR PREDICTING USER ACTIVITIES BASED ON TIME-RELATED FEATURES 有权
标题翻译：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
申请人： Rui Zhang , Kurt E. Partridge , James M. A. Begole , Robert R. Price
发明人： Rui Zhang , Kurt E. Partridge , James M. A. Begole , Robert R. Price
IPC分类号： G06N5/02
CPC分类号： G06N5/02 , G06N7/005 , G06Q30/02 , G06Q30/0255 , G06Q30/0261
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。

3. 发明授权

US09183497B2 Performance-efficient system for predicting user activities based on time-related features 有权
标题翻译：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
申请人： Rui Zhang , Kurt E. Partridge , James M. A. Begole , Robert R. Price
发明人： Rui Zhang , Kurt E. Partridge , James M. A. Begole , Robert R. Price
IPC分类号： G06N5/02 , G06N7/00 , G06Q30/02
CPC分类号： G06N5/02 , G06N7/005 , G06Q30/02 , G06Q30/0255 , G06Q30/0261
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。

4. 发明申请

US20130218825A1 AUTOMATICALLY TRIGGERING PREDICTIONS IN RECOMMENDATION SYSTEMS BASED ON AN ACTIVITY-PROBABILITY THRESHOLD 有权
标题翻译：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
申请人： Rui Zhang , Kurt E. Partridge , Robert R. Price , James M.A. Begole , Maurice K. Chu
发明人： Rui Zhang , Kurt E. Partridge , Robert R. Price , James M.A. Begole , Maurice K. Chu
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。

5. 发明授权

US08832546B2 System for automatically filling in paper forms with electronic data 有权
标题翻译：用电子数据自动填写纸质表格的系统
公开(公告)号：US08832546B2
公开(公告)日：2014-09-09
申请号：US13040178
申请日：2011-03-03
申请人： James M. A. Begole , Maurice K. Chu , Kurt E. Partridge , Robert T. Krivacic , Mary C. McCorkindale
发明人： James M. A. Begole , Maurice K. Chu , Kurt E. Partridge , Robert T. Krivacic , Mary C. McCorkindale
IPC分类号： G06F17/24
CPC分类号： G06F17/243
摘要： Embodiments of the disclosed technology provide a system and method for automatically filling paper form with electronic data. The system receives from a user a scanned image of a paper form that includes a plurality of fields. The system then retrieves a schema map that maps the plurality of fields in the paper form to a plurality of fields in an electronic data record associated with the user. Next, the system retrieves data values of the fields in the electronic data record based on the schema map. The system also synthesizes the retrieved data values and the scanned image to create an image of the paper form in which the fields are filled with the retrieved data values.
摘要翻译：所公开技术的实施例提供了一种用于用电子数据自动填充纸张的系统和方法。系统从用户接收包括多个字段的纸张形式的扫描图像。然后，系统检索将纸张形式的多个字段映射到与用户相关联的电子数据记录中的多个字段的模式映射。接下来，系统基于模式图来检索电子数据记录中的字段的数据值。该系统还综合检索的数据值和扫描图像，以创建纸张形式的图像，其中填充有检索的数据值的字段。

6. 发明申请

US20080098367A1 System and method for transferring code to a data producer 有权
标题翻译：将代码传输给数据生产者的系统和方法
公开(公告)号：US20080098367A1
公开(公告)日：2008-04-24
申请号：US11543738
申请日：2006-10-05
申请人： Kurt E. Partridge , Maurice K. Chu , James M. A. Begole , Mark W. Newman
发明人： Kurt E. Partridge , Maurice K. Chu , James M. A. Begole , Mark W. Newman
IPC分类号： G06F9/45
CPC分类号： H04L67/34 , G01D21/00 , H04L41/12 , H04L67/10 , H04L67/12 , H04W28/06
摘要： One embodiment of the present invention provides a system that selectively transfers code to a data producer in a networked system. In this system, the data producer generates data and then sends the data to a device. The device receives the data from the data producer, and then uses code on the device to perform a processing operation on the data. Next, the system analyzes characteristics of the data to determine whether performing the processing operation on the data producer can reduce resource usage. If so, the system transfers the code from the device to the data producer, and subsequently executes the code on the data producer. By executing the code on the data producer, the system can optimize resource usage in the networked system.
摘要翻译：本发明的一个实施例提供了一种系统，其选择性地将代码传送到网络系统中的数据生成器。在该系统中，数据生成器生成数据，然后将数据发送到设备。设备从数据生成器接收数据，然后使用设备上的代码对数据执行处理操作。接下来，系统分析数据的特征以确定对数据生成器执行处理操作是否可以减少资源使用。如果是这样，系统将代码从设备传输到数据生成器，然后执行数据生成器上的代码。通过执行数据生成器上的代码，系统可以优化网络系统中的资源使用情况。

7. 发明授权

US08504999B2 System and method for transferring code to a data producer 有权
标题翻译：将代码传输给数据生产者的系统和方法
公开(公告)号：US08504999B2
公开(公告)日：2013-08-06
申请号：US11543738
申请日：2006-10-05
申请人： Kurt E. Partridge , Maurice K. Chu , James M. A. Begole , Mark W. Newman
发明人： Kurt E. Partridge , Maurice K. Chu , James M. A. Begole , Mark W. Newman
IPC分类号： G06F9/45 , G06F9/44 , G06F15/16
CPC分类号： H04L67/34 , G01D21/00 , H04L41/12 , H04L67/10 , H04L67/12 , H04W28/06
摘要： One embodiment of the present invention provides a system that selectively transfers code to a data producer in a networked system. In this system, the data producer generates data and then sends the data to a device. The device receives the data from the data producer, and then uses code on the device to perform a processing operation on the data. Next, the system analyzes characteristics of the data to determine whether performing the processing operation on the data producer can reduce resource usage. If so, the system transfers the code from the device to the data producer, and subsequently executes the code on the data producer. By executing the code on the data producer, the system can optimize resource usage in the networked system.
摘要翻译：本发明的一个实施例提供一种选择性地将代码传送到网络系统中的数据生成器的系统。在该系统中，数据生成器生成数据，然后将数据发送到设备。设备从数据生成器接收数据，然后使用设备上的代码对数据执行处理操作。接下来，系统分析数据的特征以确定对数据生成器执行处理操作是否可以减少资源使用。如果是这样，系统将代码从设备传输到数据生成器，然后执行数据生成器上的代码。通过执行数据生成器上的代码，系统可以优化网络系统中的资源使用情况。

8. 发明授权

US07882056B2 Method and system to predict and recommend future goal-oriented activity 有权
标题翻译：预测和推荐未来面向目标的活动的方法和系统
公开(公告)号：US07882056B2
公开(公告)日：2011-02-01
申请号：US11857386
申请日：2007-09-18
申请人： James M. A. Begole , Victoria M. E. Bellotti , Nicolas B. Ducheneaut , Robert R. Price , Kurt E. Partridge , Michael Roberts , Ed H. Chi
发明人： James M. A. Begole , Victoria M. E. Bellotti , Nicolas B. Ducheneaut , Robert R. Price , Kurt E. Partridge , Michael Roberts , Ed H. Chi
IPC分类号： G06N5/00
CPC分类号： G06Q10/10 , G06Q30/02
摘要： One embodiment of the present invention provides a method for recommending activities to a user. During operation, the system determines an activity-type distribution based on the user's personal profile and/or population prior information, thereby facilitating prediction of future activities for the user. The system further searches for and receives one or more activities based on the activity-type distribution. The system then scores each received activity and recommends a number of activities to be performed by the user in the future and a number of corresponding venues, based on the activity-type distribution and the weight distribution.
摘要翻译：本发明的一个实施例提供了一种向用户推荐活动的方法。在操作期间，系统基于用户的个人资料和/或人口先验信息确定活动类型分布，从而有助于预测用户的未来活动。该系统基于活动类型分布进一步搜索并接收一个或多个活动。然后，系统对每个接收的活动进行评分，并且基于活动类型分布和权重分布，推荐将来由用户执行的一些活动和若干相应的场馆。

9. 发明授权

US07836001B2 Recommender system with AD-HOC, dynamic model composition 有权
标题翻译：推荐系统采用AD-HOC，动态模型组成
公开(公告)号：US07836001B2
公开(公告)日：2010-11-16
申请号：US11855547
申请日：2007-09-14
申请人： Nicolas B. Ducheneaut , Kurt E. Partridge , James M. A. Begole , Robert R. Price
发明人： Nicolas B. Ducheneaut , Kurt E. Partridge , James M. A. Begole , Robert R. Price
IPC分类号： G06F17/00 , G06N5/00 , G06N5/02
CPC分类号： G06Q30/02
摘要： 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.
摘要翻译：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。

10. 发明申请

US20130254152A1 DISTRIBUTED SYSTEM AND METHODS FOR MODELING POPULATION-CENTRIC ACTIVITIES 审中-公开
标题翻译：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
申请人： Rui Zhang , Maurice Kyojin Chu , Kurt E. Partridge , James M. A. Begole
发明人： Rui Zhang , Maurice Kyojin Chu , Kurt E. Partridge , James M. A. Begole
IPC分类号： G06N5/02 , G06F15/16
CPC分类号： G06Q30/0631 , G06N20/00 , G06Q30/0201
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。

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