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1. 发明申请

US20150278709A1 USING MACHINE LEARNING TO PREDICT BEHAVIOR BASED ON LOCAL CONDITIONS 有权
标题翻译：使用机器学习基于本地条件的预测行为
公开(公告)号：US20150278709A1
公开(公告)日：2015-10-01
申请号：US14530248
申请日：2014-10-31
申请人： INSIDESALES.COM, INC.
发明人： Xinchuan Zeng , Jeffrey Berry , David Elkington
IPC分类号： G06N99/00 , G06N5/04 , G06N7/00
CPC分类号： G06N99/005 , G06N3/084
摘要： Using machine learning to predict behavior based on local conditions. In one example embodiment, a method for using machine learning to predict behavior based on local conditions may include identifying a lead, identifying a target behavior for the lead, identifying a locality associated with the lead, identifying a current local condition of the locality, and employing a machine learning classifier to generate a prediction of a likelihood of the lead exhibiting the target behavior. In this example embodiment, the machine learning classifier may base the prediction on the target behavior, the locality, and the current local condition.
摘要翻译：使用机器学习来预测基于当地条件的行为。在一个示例实施例中，一种使用机器学习来基于局部条件来预测行为的方法可以包括识别潜在客户，识别潜在客户的目标行为，识别与潜在客户相关联的地点，识别当地的当前地区状况，以及使用机器学习分类器来产生展示目标行为的潜在客户的可能性的预测。在该示例实施例中，机器学习分类器可以基于目标行为，局部性和当前局部条件来进行预测。

2. 发明授权

US09460401B2 Using machine learning to predict behavior based on local conditions 有权
标题翻译：使用机器学习来预测基于当地条件的行为
公开(公告)号：US09460401B2
公开(公告)日：2016-10-04
申请号：US14530248
申请日：2014-10-31
申请人： INSIDESALES.COM, INC.
发明人： Xinchuan Zeng , Jeffrey Berry , David Elkington
IPC分类号： G06N99/00 , G06N3/08
CPC分类号： G06N99/005 , G06N3/084
摘要： Using machine learning to predict behavior based on local conditions. In one example embodiment, a method for using machine learning to predict behavior based on local conditions may include identifying a lead, identifying a target behavior for the lead, identifying a locality associated with the lead, identifying a current local condition of the locality, and employing a machine learning classifier to generate a prediction of a likelihood of the lead exhibiting the target behavior. In this example embodiment, the machine learning classifier may base the prediction on the target behavior, the locality, and the current local condition.
摘要翻译：使用机器学习来预测基于当地条件的行为。在一个示例实施例中，一种使用机器学习来基于局部条件来预测行为的方法可以包括识别潜在客户，识别潜在客户的目标行为，识别与潜在客户相关联的地点，识别当地的当前地区状况，以及使用机器学习分类器来产生展示目标行为的潜在客户的可能性的预测。在该示例实施例中，机器学习分类器可以基于目标行为，局部性和当前局部条件来进行预测。

3. 发明申请

US20160105562A1 Call Center Input/Output Agent Utilization Arbitration Method and System 审中-公开
标题翻译：呼叫中心输入/输出代理利用仲裁方法和系统
公开(公告)号：US20160105562A1
公开(公告)日：2016-04-14
申请号：US14813047
申请日：2015-07-29
申请人： InsideSales.com, Inc.
发明人： David Elkington , Thomas Purdy , Daniel E. Telschow
IPC分类号： H04M3/523 , H04M3/51
CPC分类号： H04M3/523 , H04M3/51 , H04M3/5175 , H04M3/5232 , H04M7/0024
摘要： Disclosed herein are systems and methods that provide for maintenance of the status of availability of call-center agents through the use of local arbitration between processes and applications that may interact with more than one resource of telephone contacts between differing activities or work for these call-center agents. Detailed information on various example embodiments of the inventions are provided in the Detailed Description below, and the inventions are defined by the appended claims.
摘要翻译：这里公开的系统和方法通过使用可以与不同活动之间的多于一个电话联系人的资源进行交互的进程和应用之间的本地仲裁来维护呼叫中心代理的可用性状态，中心代理商在下面的详细描述中提供了关于本发明的各种示例性实施例的详细信息，并且本发明由所附权利要求限定。

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