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1. 发明授权

US09721267B2 Coupon effectiveness indices 有权
公开(公告)号：US09721267B2
公开(公告)日：2017-08-01
申请号：US12971610
申请日：2010-12-17
申请人： Gerald Fahner , Zhenyu Yan , Shafi Rahman , Amit Kiran Sowani
发明人： Gerald Fahner , Zhenyu Yan , Shafi Rahman , Amit Kiran Sowani
IPC分类号： G06Q30/00 , G06Q30/02
CPC分类号： G06Q30/0211 , G06Q30/0242
摘要： Profiles characterizing each of a plurality of consumers are received. Thereafter, each profile is associated with one of a plurality of customer segments (e.g., matched pairs, etc.). Thereafter, a coupon effectiveness index is determined for each of the plurality of consumers for an offering based on the associated customer segment. The coupon effectiveness indices model characterizes causal effects estimates determined using historical data of purchases of individuals having varying coupon treatments for the offering. Subsequently, provision of at least a portion of the determined coupon effectiveness indices is initiated. Related apparatus, systems, techniques and articles are also described.

2. 发明申请

US20120158474A1 COUPON EFFECTIVENESS INDICES 有权
标题翻译： COUPON有效指标
公开(公告)号：US20120158474A1
公开(公告)日：2012-06-21
申请号：US12971610
申请日：2010-12-17
申请人： Gerald Fahner , Zhenyu Yan , Shafi Ur Rahman , Amit Kiran Sowani
发明人： Gerald Fahner , Zhenyu Yan , Shafi Ur Rahman , Amit Kiran Sowani
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0211 , G06Q30/0242
摘要： Profiles characterizing each of a plurality of consumers are received. Thereafter, each profile is associated with one of a plurality of customer segments (e.g., matched pairs, etc.). Thereafter, a coupon effectiveness index is determined for each of the plurality of consumers for an offering based on the associated customer segment. The coupon effectiveness indices model characterizes causal effects estimates determined using historical data of purchases of individuals having varying coupon treatments for the offering. Subsequently, provision of at least a portion of the determined coupon effectiveness indices is initiated. Related apparatus, systems, techniques and articles are also described.
摘要翻译：接收表征多个消费者中的每一个的简档。此后，每个配置文件与多个客户区段（例如，匹配对等）中的一个相关联。此后，基于相关联的客户区段，针对供应的多个消费者中的每一个确定优惠券有效性指数。息票效益指数模型表征使用购买具有不同优惠券处理方案的个人的历史数据确定的因果效应估计。随后，开始提供确定的息票有效性指数的至少一部分。还描述了相关设备，系统，技术和物品。

3. 发明授权

US08417559B2 Assortment planning based on demand transfer between products 有权
标题翻译：基于产品之间的需求转移的分类规划
公开(公告)号：US08417559B2
公开(公告)日：2013-04-09
申请号：US12110171
申请日：2008-04-25
申请人： Ashutosh Umakant Joshi , Zhenyu Yan , Marc-david Cohen , Shailesh Kumar
发明人： Ashutosh Umakant Joshi , Zhenyu Yan , Marc-david Cohen , Shailesh Kumar
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0202
摘要： A computer-implemented method described for facilitating selection of an assortment of products to offer for sale. The method includes receiving transaction data representing characteristics of a plurality of commercial transactions including a first product and a second product. Product attribute data representing attributes for at least the two products are also received. Substitution demand data for the second product is estimated which represents demand for the second product given the first product is not available, the estimation being based on the transaction data and product attribute data.
摘要翻译：描述了一种计算机实现的方法，用于促进选择提供出售的各种产品。该方法包括接收表示包括第一产品和第二产品的多个商业交易的特征的交易数据。还收到表示至少两个产品的属性的产品属性数据。估计第二产品的替代需求数据，其代表第一产品不可用的第二产品的需求，该估计基于交易数据和产品属性数据。

4. 发明申请

US20090271245A1 ASSORTMENT PLANNING BASED ON DEMAND TRANSFER BETWEEN PRODUCTS 有权
标题翻译：基于产品之间需求转移的分类规划
公开(公告)号：US20090271245A1
公开(公告)日：2009-10-29
申请号：US12110171
申请日：2008-04-25
申请人： Ashutosh Umakant Joshi , Zhenyu Yan , Marc-david Cohen , Shailesh Kumar
发明人： Ashutosh Umakant Joshi , Zhenyu Yan , Marc-david Cohen , Shailesh Kumar
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0202
摘要： A computer-implemented method described for facilitating selection of an assortment of products to offer for sale. The method includes receiving transaction data representing characteristics of a plurality of commercial transactions including a first product and a second product. Product attribute data representing attributes for at least the two products are also received. Substitution demand data for the second product is estimated which represents demand for the second product given the first product is not available, the estimation being based on the transaction data and product attribute data.
摘要翻译：描述了一种计算机实现的方法，用于促进选择提供出售的各种产品。该方法包括接收表示包括第一产品和第二产品的多个商业交易的特征的交易数据。还接收表示至少两个产品的属性的产品属性数据。估计第二产品的替代需求数据，其代表第一产品不可用的第二产品的需求，该估计基于交易数据和产品属性数据。

5. 发明授权

US08706545B2 Variable learning rate automated decisioning 有权
标题翻译：可变学习率自动化决策
公开(公告)号：US08706545B2
公开(公告)日：2014-04-22
申请号：US11963501
申请日：2007-12-21
申请人： Deenadayalan Narayanaswamy , Marc-david Cohen , Zhenyu Yan
发明人： Deenadayalan Narayanaswamy , Marc-david Cohen , Zhenyu Yan
IPC分类号： G06Q30/02 , G06Q40/02
CPC分类号： G06Q30/02 , G06Q10/06 , G06Q10/10 , G06Q20/108 , G06Q40/02
摘要： Methods and related system are described for making decisions. A described method includes selecting a choice from the available choices, receiving an outcome relating to the selected choice, and automatically learning from the received outcome by incorporating the received outcome into subsequent steps of selecting a choice. The method may also include calculating estimated probabilities associated with the each choice using Bayesian networks. The automated learning can be based on a learning rate which is variable with time, and influences the degree on which prior outcomes are relied upon when calculating an estimated probability associated with a choice. The learning rate can be a function of time and an estimate of drift of the probability associated with the selected choice.
摘要翻译：描述方法和相关系统作出决策。所描述的方法包括从可用选择中选择选择，接收与所选择的选择相关的结果，以及通过将接收到的结果并入随后的选择选择的步骤中而从接收到的结果中自动学习。该方法还可以包括使用贝叶斯网络来计算与每个选择相关联的估计概率。自动学习可以基于随时间变化的学习率，并且在计算与选择相关联的估计概率时影响先前结果依赖的程度。学习率可以是时间的函数，也可以是与所选择的选择相关联概率的漂移估计。

6. 发明授权

US08418743B2 Brazing system 有权
标题翻译：钎焊系统
公开(公告)号：US08418743B2
公开(公告)日：2013-04-16
申请号：US13356023
申请日：2012-01-23
申请人： Michiyasu Kurihara , Kiyoshi Furukawa , Toru Inagaki , Zhenyu Yan
发明人： Michiyasu Kurihara , Kiyoshi Furukawa , Toru Inagaki , Zhenyu Yan
IPC分类号： B23K1/00 , B23K20/14
CPC分类号： B23K1/0012 , B23K1/012 , B23K3/04 , F28D2021/008 , F28F21/084 , F28F2275/045
摘要： A brazing system for brazing component members of a workpiece has a brazing chamber an inside of which is made a heating space of a volume corresponding to the workpiece, a radiant heating means provided with a plurality of heating sources which are positioned so as to correspond to a plurality of regions into which two facing surfaces of the workpiece are respectively divided, a convection heating means for circulating a heated inert gas to the heating space so as to heat the workpiece, and a control means for controlling the operation of the heating sources and the circulation of the inert gas. Each heating source is independently controlled by the control means, and the convection heating means circulates the inert gas so as to reduce a temperature difference of the workpiece caused by the heating sources.
摘要翻译：用于钎焊工件的组件的钎焊系统具有钎焊室，其内部被制成与工件相对应的体积的加热空间，辐射加热装置设置有多个加热源，其被定位成对应于将工件的两个相对表面分别分开的多个区域，用于将加热的惰性气体循环到加热空间以加热工件的对流加热装置，以及用于控制加热源的操作的控制装置，惰性气体的循环。每个加热源由控制装置独立地控制，对流加热装置使惰性气体循环，以减少加热源产生的工件的温度差。

7. 发明申请

US20090164274A1 VARIABLE LEARNING RATE AUTOMATED DECISIONING 有权
标题翻译：可变学习率自动决策
公开(公告)号：US20090164274A1
公开(公告)日：2009-06-25
申请号：US11963501
申请日：2007-12-21
申请人： Deenadayalan Narayanaswamy , Marc-david Cohen , Zhenyu Yan
发明人： Deenadayalan Narayanaswamy , Marc-david Cohen , Zhenyu Yan
IPC分类号： G06Q10/00
CPC分类号： G06Q30/02 , G06Q10/06 , G06Q10/10 , G06Q20/108 , G06Q40/02
摘要： Methods and related system are described for making decisions. A described method includes selecting a choice from the available choices, receiving an outcome relating to the selected choice, and automatically learning from the received outcome by incorporating the received outcome into subsequent steps of selecting a choice. The method may also include calculating estimated probabilities associated with the each choice using Bayesian networks. The automated learning can be based on a learning rate which is variable with time, and influences the degree on which prior outcomes are relied upon when calculating an estimated probability associated with a choice. The learning rate can be a function of time and an estimate of drift of the probability associated with the selected choice.
摘要翻译：描述方法和相关系统作出决策。所描述的方法包括从可用选择中选择选择，接收与所选择的选择相关的结果，以及通过将接收到的结果并入随后的选择选择的步骤中而从接收到的结果中自动学习。该方法还可以包括使用贝叶斯网络来计算与每个选择相关联的估计概率。自动学习可以基于随时间变化的学习率，并且在计算与选择相关联的估计概率时影响先前结果依赖的程度。学习率可以是时间的函数，也可以是与所选择的选择相关联概率的漂移估计。

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