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1.发明申请SYSTEMS AND METHODS FOR GENERATING LEADS IN A NETWORK BY PREDICTING PROPERTIES OF EXTERNAL NODES 有权通过预测外部特性的属性在网络中产生线索的系统和方法公开(公告)号：US20110213741A1
公开(公告)日：2011-09-01
申请号：US12853760
申请日：2010-08-10
Applicant: Yaacov Shama , Tal Segalov , Ehud Ben-Reuven , Evgeny Drukh , Uri Sternfeld
Inventor： Yaacov Shama , Tal Segalov , Ehud Ben-Reuven , Evgeny Drukh , Uri Sternfeld
CPC classification number: G06N5/04 , G06N99/005 , G06Q30/02
Abstract: 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.
Abstract translation: 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。
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2.发明授权Systems and methods for generating leads in a network by predicting properties of external nodes 有权通过预测外部节点的属性在网络中生成线索的系统和方法公开(公告)号：US08560471B2
公开(公告)日：2013-10-15
申请号：US12853760
申请日：2010-08-10
Applicant: Yaacov Shama , Tal Segalov , Ehud Ben-Reuven , Evgeny Drukh , Uri Sternfeld
Inventor： Yaacov Shama , Tal Segalov , Ehud Ben-Reuven , Evgeny Drukh , Uri Sternfeld
CPC classification number: G06N5/04 , G06N99/005 , G06Q30/02
Abstract: 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.
Abstract translation: 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。
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3.发明申请SYSTEMS AND METHODS FOR IDENTIFYING PROVIDER NONCUSTOMERS AS LIKELY ACQUISITION TARGETS 有权将供应商非客户识别为有利的收购目标的系统和方法公开(公告)号：US20110035347A1
公开(公告)日：2011-02-10
申请号：US12853766
申请日：2010-08-10
Applicant: Yaacov Shama , Tal Segalov , Ehud Ben-Reuven , Evgeny Drukh , Uri Sternfeld
Inventor： Yaacov Shama , Tal Segalov , Ehud Ben-Reuven , Evgeny Drukh , Uri Sternfeld
IPC: G06F15/18
CPC classification number: G06N5/04 , G06N99/005 , G06Q30/02
Abstract: 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.
Abstract translation: 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。
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4.发明授权Systems and methods for identifying provider noncustomers as likely acquisition targets 有权将供应商非客户识别为可能的获取目标的系统和方法公开(公告)号：US08700551B2
公开(公告)日：2014-04-15
申请号：US12853766
申请日：2010-08-10
Applicant: Yaacov Shama , Tal Segalov , Ehud Ben-Reuven , Evgeny Drukh , Uri Sternfeld
Inventor： Yaacov Shama , Tal Segalov , Ehud Ben-Reuven , Evgeny Drukh , Uri Sternfeld
CPC classification number: G06N5/04 , G06N99/005 , G06Q30/02
Abstract: 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.
Abstract translation: 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。
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