公开(公告)号：US20120265610A1

公开(公告)日：2012-10-18

申请号：US13361376

申请日：2012-01-30

申请人： Yaacov Shama ,  Tal Segalov ,  Ehud Ben-reuven

发明人： Yaacov Shama ,  Tal Segalov ,  Ehud Ben-reuven

IPC分类号： G06Q10/00 ,  G06Q30/02

CPC分类号： G06F16/951 ,  G06F16/313 ,  G06Q30/0251 ,  G06Q30/0276 ,  G06Q30/0277

摘要： A scheme for analyzing businesses and generating business leads is disclosed. A list of company websites can be gathered from a plurality of data sources and combined to produce an aggregated list of companies. Content from the websites of the companies in the list is extracted and stored. Contact information may automatically be ascertained from the website content, if available. The stored content extracted from the websites may then be analyzed to detect the presence of particular features. The listing of companies may then be filtered to produce a subset of businesses that represent potential business leads. The business leads may be provided to a company seeking such leads, and may optionally be provided to an automated marketing system, which is configured to generate and transmit commercial advertisements to the businesses identified as leads.

摘要翻译： 披露了业务分析和业务线索分析方案。 可以从多个数据源收集公司网站的列表，并将其组合以产生公司的总计列表。 列表中公司网站的内容被提取并存储。 联系信息可能会自动从网站内容确定（如果有的话）。 然后可以分析从网站提取的存储内容以检测特定特征的存在。 然后可以过滤公司的上市，以产生代表潜在业务潜力的企业的一部分。 商业潜在客户可以提供给寻求这样的潜在客户的公司，并且可以可选地被提供给自动营销系统，其被配置为生成并向被识别为潜在客户的企业传送商业广告。

公开(公告)号：US20120198056A1

公开(公告)日：2012-08-02

申请号：US13361351

申请日：2012-01-30

申请人： Yaacov SHAMA ,  Tal SEGALOV ,  Ehud BEN-REUVEN

发明人： Yaacov SHAMA ,  Tal SEGALOV ,  Ehud BEN-REUVEN

IPC分类号： G06F15/173 ,  G06F17/30

CPC分类号： G06F16/951 ,  G06F16/313 ,  G06Q30/0251 ,  G06Q30/0276 ,  G06Q30/0277

摘要： A scheme for analyzing businesses and generating business leads is disclosed. A list of company websites can be gathered from a plurality of data sources and combined to produce an aggregated list of companies. Content from the websites of the companies in the list is extracted and stored. Contact information may automatically be ascertained from the website content, if available. The stored content extracted from the websites may then be analyzed to detect the presence of particular features. The listing of companies may then be filtered to produce a subset of businesses that represent potential business leads. The business leads may be provided to a company seeking such leads, and may optionally be provided to an automated marketing system, which is configured to generate and transmit commercial advertisements to the businesses identified as leads.

摘要翻译： 披露了业务分析和业务线索分析方案。 可以从多个数据源收集公司网站的列表，并将其组合以产生公司的总计列表。 列表中公司网站的内容被提取并存储。 联系信息可能会自动从网站内容确定（如果有的话）。 然后可以分析从网站提取的存储内容以检测特定特征的存在。 然后可以过滤公司的上市，以产生代表潜在业务潜力的企业的一部分。 商业潜在客户可以提供给寻求这样的潜在客户的公司，并且可以可选地被提供给自动营销系统，其被配置为生成并向被识别为潜在客户的企业传送商业广告。

公开(公告)号：US08700551B2

公开(公告)日：2014-04-15

申请号：US12853766

申请日：2010-08-10

申请人： Yaacov Shama ,  Tal Segalov ,  Ehud Ben-Reuven ,  Evgeny Drukh ,  Uri Sternfeld

发明人： Yaacov Shama ,  Tal Segalov ,  Ehud Ben-Reuven ,  Evgeny Drukh ,  Uri Sternfeld

IPC分类号： G06E1/00 ,  G06E3/00

CPC分类号： G06N5/04 ,  G06N99/005 ,  G06Q30/02

摘要： The present invention is directed towards systems and methods for predicting one or more desired properties of external nodes or properties of their relations with internal nodes, based on a selected group of nodes about which it is known whether the nodes have the desired properties, or it is known whether they have a desired relation property with an internal node. The method comprises storing in one or more data structures a first data set regarding external nodes and a second data set regarding nodes with known properties in a selected group, each data set having one or more data items representing one or more events relating to or attributes of each node in the data set, the second data set including one or more types of data items not included in the first data set. The method then models the second data set to identify from the second data one or more modeled events or attributes of internal nodes in the selected group that are statistically likely to identify the nodes or their relations, that have the desired properties and predicts which of the external nodes are statistically likely to have the one or more desired properties, or desired relation property with internal node, based on the identified plurality of modeled events or attributes and the events or attributes in the first data set.

摘要翻译： 本发明涉及用于基于所选择的节点组来预测外部节点的一个或多个期望属性或其与内部节点的关系的属性的系统和方法，关于这些节点，已知节点是否具有期望的属性，或者 知道它们是否具有与内部节点的期望的关系属性。 该方法包括在一个或多个数据结构中存储关于外部节点的第一数据集和关于所选择的组中具有已知属性的节点的第二数据集，每个数据集具有一个或多个表示一个或多个与或属性相关的事件的数据项 所述第二数据集包括未包括在所述第一数据集中的一种或多种类型的数据项。 该方法然后对第二数据集进行建模，以从第二数据中识别所选择的组中的内部节点的一个或多个建模事件或属性，其在统计上可能识别节点或其关系，具有期望的属性并且预测哪个 基于所识别的多个建模事件或属性以及第一数据集中的事件或属性，外部节点在统计上可能具有一个或多个期望属性或与内部节点的期望关联属性。

公开(公告)号：US08560471B2

公开(公告)日：2013-10-15

申请号：US12853760

申请日：2010-08-10

申请人： Yaacov Shama ,  Tal Segalov ,  Ehud Ben-Reuven ,  Evgeny Drukh ,  Uri Sternfeld

发明人： Yaacov Shama ,  Tal Segalov ,  Ehud Ben-Reuven ,  Evgeny Drukh ,  Uri Sternfeld

IPC分类号： G06F15/18 ,  G06N3/00 ,  G06N3/12

CPC分类号： G06N5/04 ,  G06N99/005 ,  G06Q30/02

摘要： The present invention is directed towards systems and methods for predicting one or more desired properties of external nodes or properties of their relations with internal nodes, based on a selected group of nodes about which it is known whether the nodes have the desired properties, or it is known whether they have a desired relation property with an internal node. The method comprises storing in one or more data structures a first data set regarding external nodes and a second data set regarding nodes with known properties in a selected group, each data set having one or more data items representing one or more events relating to or attributes of each node in the data set, the second data set including one or more types of data items not included in the first data set. The method then models the second data set to identify from the second data one or more modeled events or attributes of internal nodes in the selected group that are statistically likely to identify the nodes or their relations, that have the desired properties and predicts which of the external nodes are statistically likely to have the one or more desired properties, or desired relation property with internal node, based on the identified plurality of modeled events or attributes and the events or attributes in the first data set.

摘要翻译： 本发明涉及用于基于所选择的节点组来预测外部节点的一个或多个期望属性或其与内部节点的关系的属性的系统和方法，关于这些节点，已知节点是否具有期望的属性，或者 知道它们是否具有与内部节点的期望的关系属性。 该方法包括在一个或多个数据结构中存储关于外部节点的第一数据集和关于所选择的组中具有已知属性的节点的第二数据集，每个数据集具有一个或多个表示一个或多个与或属性相关的事件的数据项 所述第二数据集包括未包括在所述第一数据集中的一种或多种类型的数据项。 该方法然后对第二数据集进行建模，以从第二数据中识别所选择的组中的内部节点的一个或多个建模事件或属性，其在统计上可能识别节点或其关系，具有期望的属性并且预测哪个 基于所识别的多个建模事件或属性以及第一数据集中的事件或属性，外部节点在统计上可能具有一个或多个期望属性或与内部节点的期望关联属性。

公开(公告)号：US20110035347A1

公开(公告)日：2011-02-10

申请号：US12853766

申请日：2010-08-10

申请人： Yaacov Shama ,  Tal Segalov ,  Ehud Ben-Reuven ,  Evgeny Drukh ,  Uri Sternfeld

发明人： Yaacov Shama ,  Tal Segalov ,  Ehud Ben-Reuven ,  Evgeny Drukh ,  Uri Sternfeld

IPC分类号： G06F15/18

CPC分类号： G06N5/04 ,  G06N99/005 ,  G06Q30/02

摘要： The present invention is directed towards systems and methods for predicting one or more desired properties of external nodes or properties of their relations with internal nodes, based on a selected group of nodes about which it is known whether the nodes have the desired properties, or it is known whether they have a desired relation property with an internal node. The method comprises storing in one or more data structures a first data set regarding external nodes and a second data set regarding nodes with known properties in a selected group, each data set having one or more data items representing one or more events relating to or attributes of each node in the data set, the second data set including one or more types of data items not included in the first data set. The method then models the second data set to identify from the second data one or more modeled events or attributes of internal nodes in the selected group that are statistically likely to identify the nodes or their relations, that have the desired properties and predicts which of the external nodes are statistically likely to have the one or more desired properties, or desired relation property with internal node, based on the identified plurality of modeled events or attributes and the events or attributes in the first data set.

摘要翻译： 本发明涉及用于基于所选择的节点组来预测外部节点的一个或多个期望属性或其与内部节点的关系的属性的系统和方法，关于这些节点，已知节点是否具有期望的属性，或者 知道它们是否具有与内部节点的期望的关系属性。 该方法包括在一个或多个数据结构中存储关于外部节点的第一数据集和关于所选择的组中具有已知属性的节点的第二数据集，每个数据集具有一个或多个表示一个或多个与或属性相关的事件的数据项 所述第二数据集包括未包括在所述第一数据集中的一种或多种类型的数据项。 该方法然后对第二数据集进行建模，以从第二数据中识别所选择的组中的内部节点的一个或多个建模事件或属性，其在统计上可能识别节点或其关系，具有期望的属性并且预测哪个 基于所识别的多个建模事件或属性以及第一数据集中的事件或属性，外部节点在统计上可能具有一个或多个期望属性或与内部节点的期望关联属性。

公开(公告)号：US20110213741A1

公开(公告)日：2011-09-01

申请号：US12853760

申请日：2010-08-10

申请人： Yaacov Shama ,  Tal Segalov ,  Ehud Ben-Reuven ,  Evgeny Drukh ,  Uri Sternfeld

发明人： Yaacov Shama ,  Tal Segalov ,  Ehud Ben-Reuven ,  Evgeny Drukh ,  Uri Sternfeld

IPC分类号： G06F15/18 ,  G06N5/02

CPC分类号： G06N5/04 ,  G06N99/005 ,  G06Q30/02

摘要： The present invention is directed towards systems and methods for predicting one or more desired properties of external nodes or properties of their relations with internal nodes, based on a selected group of nodes about which it is known whether the nodes have the desired properties, or it is known whether they have a desired relation property with an internal node. The method comprises storing in one or more data structures a first data set regarding external nodes and a second data set regarding nodes with known properties in a selected group, each data set having one or more data items representing one or more events relating to or attributes of each node in the data set, the second data set including one or more types of data items not included in the first data set. The method then models the second data set to identify from the second data one or more modeled events or attributes of internal nodes in the selected group that are statistically likely to identify the nodes or their relations, that have the desired properties and predicts which of the external nodes are statistically likely to have the one or more desired properties, or desired relation property with internal node, based on the identified plurality of modeled events or attributes and the events or attributes in the first data set.

摘要翻译： 本发明涉及用于基于所选择的节点组来预测外部节点的一个或多个期望属性或其与内部节点的关系的属性的系统和方法，关于这些节点，已知节点是否具有期望的属性，或者 知道它们是否具有与内部节点的期望的关系属性。 该方法包括在一个或多个数据结构中存储关于外部节点的第一数据集和关于所选择的组中具有已知属性的节点的第二数据集，每个数据集具有一个或多个表示一个或多个与或属性相关的事件的数据项 所述第二数据集包括未包括在所述第一数据集中的一种或多种类型的数据项。 该方法然后对第二数据集进行建模，以从第二数据中识别所选择的组中的内部节点的一个或多个建模事件或属性，其在统计上可能识别节点或其关系，具有期望的属性并且预测哪个 基于所识别的多个建模事件或属性以及第一数据集中的事件或属性，外部节点在统计上可能具有一个或多个期望属性或与内部节点的期望关联属性。