公开(公告)号：US20080120307A1

公开(公告)日：2008-05-22

申请号：US11561779

申请日：2006-11-20

申请人： Glen Anthony Ames ,  David A. Burgess ,  Joshua Ethan Miller Koran ,  Amit Umesh Shanbhag

发明人： Glen Anthony Ames ,  David A. Burgess ,  Joshua Ethan Miller Koran ,  Amit Umesh Shanbhag

IPC分类号： G06F17/30

CPC分类号： G06Q30/02

摘要： A method for selecting at least one target customer attribute from a plurality of customer attributes, wherein each customer attribute represents a unique customer characteristic is provided. The plurality of customer attributes is presented for selection. A selection of at least one target customer attribute selected from the plurality of customer attributes is received. For each cluster of a plurality of clusters, indicated the statistic of customers belonging to that cluster who possess each and every one of the at least one target customer attribute. The plurality of clusters comprises a plurality of customers and each customer of the plurality of customers belongs to at least one cluster of the plurality of clusters.

摘要翻译： 一种用于从多个顾客属性中选择至少一个目标客户属性的方法，其中提供了每个顾客属性表示唯一的客户特征。 提供多个客户属性供选择。 接收从多个顾客属性中选择的至少一个目标客户属性的选择。 对于多个集群的每个集群，指示属于该集群的客户的统计信息，其拥有至少一个目标客户属性中的每一个。 多个集群包括多个客户，并且多个客户的每个客户属于多个集群中的至少一个集群。

公开(公告)号：US20080097820A1

公开(公告)日：2008-04-24

申请号：US11550709

申请日：2006-10-18

申请人： Joshua Ethan Miller Koran ,  David A. Burgess ,  Glen Anthony Ames ,  Amit Umesh Shanbhag ,  Nicholas Wayne Henderson

发明人： Joshua Ethan Miller Koran ,  David A. Burgess ,  Glen Anthony Ames ,  Amit Umesh Shanbhag ,  Nicholas Wayne Henderson

IPC分类号： G07G1/00

CPC分类号： G06Q30/02 ,  G06Q30/0201 ,  G06Q30/0204

摘要： An unsupervised classification approach is improved by imposing some order into the treatment of the records and their attributes, which otherwise would be treated as random variables. A method is provided to identify particular attributes that are most associated with the “good” records within each of the plurality of groups of records within a data set. Based on a supervised scoring method, the records of the data set are processed to indicate their measure of “goodness”. There are various ways by which the records can be processed to indicate a bias during unsupervised clustering processing.

摘要翻译： 通过对记录及其属性的处理施加一些顺序来改进无监督分类方法，否则将被视为随机变量。 提供了一种方法来识别与数据集内的多个记录组中的每一组内的“良好”记录最相关联的特定属性。 根据监督评分方法，对数据集的记录进行处理，以表明其“良好”度量。 存在可以处理记录以在无监督的聚类处理期间指示偏倚的各种方式。

公开(公告)号：US20120323682A1

公开(公告)日：2012-12-20

申请号：US13524187

申请日：2012-06-15

申请人： Amit Umesh Shanbhag ,  Nausher Ahmed Cholavaram ,  Senthil Kumar Pandurangan ,  Zeqian Shen ,  Dennis Decoste

发明人： Amit Umesh Shanbhag ,  Nausher Ahmed Cholavaram ,  Senthil Kumar Pandurangan ,  Zeqian Shen ,  Dennis Decoste

IPC分类号： G06Q30/02

CPC分类号： G06Q30/0641 ,  G06Q30/0601

摘要： Systems and methods for behavioral modeling to optimize shopping cart conversion are discussed. For example, a method can include identifying a user interacting with a networked system, accessing user profile data associated with the user, tracking user activity associated with the user, accessing a behavioral model, applying the behavioral model, and determining a shopping cart optimization. The behavioral model can be generated from historical data detailing interactions with the networked system. The behavioral model can be applied to the user profiled data and the user activity data to assist in selection of a shopping cart optimization.

摘要翻译： 讨论了用于优化购物车转换的行为建模的系统和方法。 例如，方法可以包括识别与网络系统交互的用户，访问与用户相关联的用户简档数据，跟踪与用户相关联的用户活动，访问行为模型，应用行为模型以及确定购物车优化。 行为模型可以从详细描述与网络系统的交互的历史数据生成。 行为模型可以应用于用户分析数据和用户活动数据，以帮助选择购物车优化。

公开(公告)号：US20100007525A1

公开(公告)日：2010-01-14

申请号：US12169849

申请日：2008-07-09

申请人： Amit Umesh Shanbhag ,  Glen Ames ,  Philip Aaronson

发明人： Amit Umesh Shanbhag ,  Glen Ames ,  Philip Aaronson

IPC分类号： G08G1/14 ,  B60Q1/48

CPC分类号： G08G1/14

摘要： Methods, systems, and apparatuses for determining parking availability are described. A sensor system is configured to monitor a plurality of parking spaces. The sensor system includes at least one sensor element that generates a sensor data output signal. A parking availability determiner receives the sensor data output signal and generates parking availability information. The parking availability determiner is configured to determine from the received sensor data output signal at least one parking space of the plurality of parking spaces that is occupied, and to include an indication in the parking availability information that the determined at least one parking space is occupied. If one or more further parking space are included in the plurality of parking spaces other than the determined at least one parking space, an indication is included in the parking availability information that the further parking spaces are available for parking.

摘要翻译： 描述了用于确定停车可用性的方法，系统和装置。 传感器系统被配置为监视多个停车位。 传感器系统包括产生传感器数据输出信号的至少一个传感器元件。 停车可用性确定器接收传感器数据输出信号并产生停车可用性信息。 停车可用性确定器被配置为从所接收的传感器数据输出信号确定所占用的多个停车位的至少一个停车位，并且在停车可用性信息中包括所确定的至少一个停车位被占用的指示 。 如果除了所确定的至少一个停车位之外的多个停车位中还包括一个或多个其他停车位，则在停车可用性信息中包括可用于停车的另外的停车位的指示。

公开(公告)号：US20090204319A1

公开(公告)日：2009-08-13

申请号：US12029243

申请日：2008-02-11

申请人： Amit Umesh Shanbhag ,  Glen Ames ,  Philip Aaronson

发明人： Amit Umesh Shanbhag ,  Glen Ames ,  Philip Aaronson

IPC分类号： G01C21/34 ,  G06Q10/00 ,  G06F17/30 ,  G06F3/048

CPC分类号： G01C21/3423 ,  G01C21/3685 ,  G06F16/29 ,  G06Q10/02 ,  G06Q10/06

摘要： Methods, systems, and apparatuses for mapping parking locations and for selecting parking are described. A search for parking resources proximate to a destination geographic location is performed. Parking information is generated based on the results of the search. The parking information may be displayed on a map of the destination geographical location. A map of the destination geographical location may be displayed with the parking information. A user may be enabled to select a parking location indicated on the map. The user may reserve the selected parking location if the selected parking location is determined to be reservable. Travel directions (e.g., for walking) from the selected parking location to the destination geographic location may be generated, and may be indicated on the map.

摘要翻译： 描述用于映射停车位置和选择停车的方法，系统和装置。 执行搜索靠近目的地地理位置的停车资源。 基于搜索结果生成停车信息。 停车信息可以显示在目的地地理位置的地图上。 可以用停车信息显示目的地地理位置的地图。 可以启用用户来选择地图上指示的停车位置。 如果所选择的停车位置被确定为可保留，则用户可以预留所选择的停车位置。 可以生成从所选择的停车位置到目的地地理位置的行驶方向（例如，步行），并且可以在地图上指示。

公开(公告)号：US08452768B2

公开(公告)日：2013-05-28

申请号：US11958097

申请日：2007-12-17

申请人： Amit Umesh Shanbhag

发明人： Amit Umesh Shanbhag

IPC分类号： G06F17/00

CPC分类号： G06F17/30867 ,  G06Q30/02 ,  G06Q30/0256

摘要： Targeting parameters are generated for a media buy plan for advertisements to be displayed in conjunction with presenting web pages, based on a history of search events. Key phrases are received relative to a subject of the advertisements to be displayed. The received key phrases are provided as proposed key phrases to determine, from search events indicative of historical data of uses of a search service, a first subportion of search events for queries of the search service with the proposed key phrases and a second subportion of search events for queries of the search service not with the proposed key phrases. Classification processing is applied to determine potential targeting parameters associated with the first subportion and with the second subportion to identify potential targeting parameters that, statistically, contribute to membership in the first sub-population and in the second sub-population, respectively. Statistics are associated with the potential targeting parameters, based on the historical data, indicative of factors usable to determine whether to use the potential targeting parameters as actual targeting parameters of the media buy plan.

摘要翻译： 基于搜索事件的历史，生成用于媒体购买计划的定向参数，用于与呈现网页一起显示的广告。 相对于要显示的广告的主题接收关键短语。 所接收的关键短语是作为提出的关键短语提供的，以便从搜索事件的搜索事件中确定搜索服务的使用的历史数据的第一子部分，用于搜索服务的查询与所提出的关键短语的搜索事件的第一子部分以及第二次搜索分组 搜索服务查询的事件不是与提出的关键短语。 应用分类处理来确定与第一子部分相关联的潜在目标参数，并且利用第二子部分来分别识别分别贡献于第一子群体和第二子群体中的成员资格的潜在目标参数。 根据历史数据，统计数据与潜在的定位参数相关联，指示可用于确定是否使用潜在的定位参数作为媒体购买计划的实际目标参数的因素。

公开(公告)号：US07893847B2

公开(公告)日：2011-02-22

申请号：US12169849

申请日：2008-07-09

申请人： Amit Umesh Shanbhag ,  Glen Ames ,  Philip Aaronson

发明人： Amit Umesh Shanbhag ,  Glen Ames ,  Philip Aaronson

IPC分类号： G08B1/00

CPC分类号： G08G1/14

摘要： Methods, systems, and apparatuses for determining parking availability are described. A sensor system is configured to monitor a plurality of parking spaces. The sensor system includes at least one sensor element that generates a sensor data output signal. A parking availability determiner receives the sensor data output signal and generates parking availability information. The parking availability determiner is configured to determine from the received sensor data output signal at least one parking space of the plurality of parking spaces that is occupied, and to include an indication in the parking availability information that the determined at least one parking space is occupied. If one or more further parking space are included in the plurality of parking spaces other than the determined at least one parking space, an indication is included in the parking availability information that the further parking spaces are available for parking.

摘要翻译： 描述了用于确定停车可用性的方法，系统和装置。 传感器系统被配置为监视多个停车位。 传感器系统包括产生传感器数据输出信号的至少一个传感器元件。 停车可用性确定器接收传感器数据输出信号并产生停车可用性信息。 停车可用性确定器被配置为从所接收的传感器数据输出信号确定所占用的多个停车位的至少一个停车位，并且在停车可用性信息中包括所确定的至少一个停车位被占用的指示 。 如果除了所确定的至少一个停车位之外的多个停车位中还包括一个或多个其他停车位，则在停车可用性信息中包括可用于停车的另外的停车位的指示。

公开(公告)号：US20100125597A1

公开(公告)日：2010-05-20

申请号：US12271494

申请日：2008-11-14

申请人： Amit Umesh Shanbhag

发明人： Amit Umesh Shanbhag

IPC分类号： G06F17/30 ,  G06F7/00

CPC分类号： G06Q30/02

摘要： Systems and methods for determining search terms for sponsored Internet searches are disclosed. A digital Internet ad is served to a plurality of Internet users. Search terms used by the plurality of Internet users served the digital Internet ad may be determined. A number of times each of the plurality of Internet users served the digital Internet ad selects the digital Internet ad is determined. A search term recommendation module determines a correlation level between each search term and the digital Internet ad. At least one of the search terms is recommended for a sponsored Internet search based on the determined correlation levels.

摘要翻译： 公开了用于确定赞助的因特网搜索的搜索项的系统和方法。 数字互联网广告被提供给多个互联网用户。 可以确定被服务于数字互联网广告的多个互联网用户使用的搜索项。 多个互联网用户服务数字互联网广告的次数多次确定数字互联网广告。 搜索项推荐模块确定每个搜索项和数字互联网广告之间的相关性水平。 基于所确定的相关级别，推荐对于赞助的因特网搜索中的至少一个搜索项。