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1. 发明申请

US20140372344A1 Adaptive User Interfaces 审中-公开
标题翻译：自适应用户界面
公开(公告)号：US20140372344A1
公开(公告)日：2014-12-18
申请号：US14277316
申请日：2014-05-14
申请人： InsideSales.com, Inc.
发明人： Richard Glenn Morris , Xinchuan Zeng , David Randal Elkington
IPC分类号： G06N99/00
CPC分类号： G06N20/00 , G06N5/02
摘要： According to various embodiments, user performance and/or motivation for a computing system may be maximized by optimizing one or more target components of a user interface of the computing system. The target components may be aspects of the user interface that is perceived by the user. One or more input features and one or more output features may be identified, and data regarding these input and output features may be gathered. This data may be compared with the results generated by a set of candidate artificial intelligence algorithms to determine which of them provides the best fit with the data collected. Then, the selected artificial intelligence algorithm may be applied to the user interface to iteratively change the target components over time until the optimal settings for each user are discovered.
摘要翻译：根据各种实施例，可以通过优化计算系统的用户界面的一个或多个目标组件来最大化计算系统的用户性能和/或动机。目标组件可以是用户感知的用户界面的方面。可以识别一个或多个输入特征和一个或多个输出特征，并且可以收集关于这些输入和输出特征的数据。该数据可以与由一组候选人工智能算法产生的结果进行比较，以确定其中的哪一个与收集的数据提供最佳匹配。然后，所选择的人工智能算法可以被应用于用户界面，以随着时间的推移来迭代地改变目标分量，直到发现每个用户的最佳设置。

2. 发明申请

US20140143344A1 Systems and Methods for Transferring Personal Session Information for Telephonic Use 审中-公开
标题翻译：传输个人会话信息用于电话使用的系统和方法
公开(公告)号：US20140143344A1
公开(公告)日：2014-05-22
申请号：US14022191
申请日：2013-09-09
申请人： InsideSales.com, Inc.
发明人： Thomas Jeffrey Purdy , David Randal Elkington , Matthew Coston Parker
IPC分类号： H04L29/06
CPC分类号： H04L65/403 , H04M3/5191 , H04M7/003
摘要： Disclosed herein are systems and associated methods for operating web interactive services in conjunction with communication services, linking the communication with the interaction by means of a session-specific identifier such as a telephone number. During the course of a web session, user interaction information may be collected, that information potentially indicating subjects of interest to a user associated with the session-specific identifier. In the event the user uses the identifier make a contact regarding the information, the identifier can be used to associate the interaction information and subjects of interest, such that the contact may have that information and those subjects available to assist a user making contact. Interaction and subject information may also be used to customize the interaction with a contacting user with regard to the routing of a telephone call, a greeting, a product or service offering, or other communication.
摘要翻译：本文公开的是用于与通信服务一起操作web交互式服务的系统和相关联的方法，通过诸如电话号码的会话特定标识符将通信与交互相关联。在网络会话期间，可以收集用户交互信息，该信息潜在地指示与会话特定标识符相关联的用户感兴趣的主题。如果用户使用该标识符来形成关于该信息的联系人，那么该标识符可用于将交互信息和感兴趣的主题相关联，使得该联系人可以具有该信息，并且该些主题可用于协助用户进行联系。还可以使用交互和主题信息来定制关于电话呼叫，问候，产品或服务提供或其他通信的路由的与联系用户的交互。

3. 发明申请

US20150181041A1 Intelligently Routing Inbound Communication 审中-公开
标题翻译：智能路由入站通信
公开(公告)号：US20150181041A1
公开(公告)日：2015-06-25
申请号：US14140439
申请日：2013-12-24
申请人： InsideSales.com, Inc.
发明人： David Randal Elkington , Xinchuan Zeng
IPC分类号： H04M3/523
CPC分类号： H04M3/5235 , G06N3/0454 , G06N3/084
摘要： Intelligently routing inbound communication. In one example embodiment, a method for routing an inbound communication includes several steps. First, a notification of the inbound communication is received that includes intrinsic information about the initiator of the communication. Next, the intrinsic information about an initiator of the communication is used to retrieve non-intrinsic information about the initiator of the communication from a data store. Finally, the non-intrinsic information is used to determine a probable destination of the communication by inputting at least some non-intrinsic information into a machine learning model to rank the available destinations.
摘要翻译：智能路由入站通信。在一个示例实施例中，用于路由入站通信的方法包括若干步骤。首先，接收到包括关于通信发起者的固有信息的入站通信的通知。接下来，使用关于通信的发起者的固有信息来从数据存储器检索关于通信的发起者的非内在信息。最后，非固有信息用于通过将至少一些非固有信息输入到机器学习模型来对可用目的地进行排序来确定通信的可能目的地。

4. 发明申请

US20140279739A1 RESOLVING AND MERGING DUPLICATE RECORDS USING MACHINE LEARNING 审中-公开
标题翻译：使用机器学习解决和合并重复记录
公开(公告)号：US20140279739A1
公开(公告)日：2014-09-18
申请号：US13838339
申请日：2013-03-15
申请人： INSIDESALES.COM, INC.
发明人： David Randal Elkington , Xinchuan Zeng , Richard Glenn Morris
IPC分类号： G06N99/00
CPC分类号： G06N20/00
摘要： According to various embodiments of the present invention, an automated technique is implemented for resolving and merging fields accurately and reliably, given a set of duplicated records that represents a same entity. In at least one embodiment, a system is implemented that uses a machine learning (ML) method, to train a model from training data, and to learn from users how to efficiently resolve and merge fields. In at least one embodiment, the method of the present invention builds feature vectors as input for its ML method. In at least one embodiment, the system and method of the present invention apply Hierarchical Based Sequencing (HBS) and/or Multiple Output Relaxation (MOR) models in resolving and merging fields. Training data for the ML method can come from any suitable source or combination of sources.
摘要翻译：根据本发明的各种实施例，给出一组表示相同实体的重复记录，实现了自动化技术来精确和可靠地解析和合并字段。在至少一个实施例中，实现使用机器学习（ML）方法从训练数据训练模型并从用户学习如何有效地解析和合并字段的系统。在至少一个实施例中，本发明的方法构建特征向量作为其ML方法的输入。在至少一个实施例中，本发明的系统和方法在解析和合并领域中应用基于分层的排序（HBS）和/或多输出松弛（MOR）模型。 ML方法的训练数据可以来自任何合适的来源或来源的组合。

5. 发明授权

US09319367B2 Email optimization for predicted recipient behavior: determining a likelihood that a particular receiver-side behavior will occur 有权
标题翻译：预测收件人行为的电子邮件优化：确定特定接收方行为发生的可能性
公开(公告)号：US09319367B2
公开(公告)日：2016-04-19
申请号：US14503149
申请日：2014-09-30
申请人： InsideSales.com, Inc.
发明人： Xinchuan Zeng , Kalyan Penta , David Randal Elkington
IPC分类号： G06F15/18 , H04L12/58 , G06N99/00 , G06Q30/02 , G06Q10/08 , G06Q10/06 , G06N7/00
CPC分类号： H04L51/22 , G06N7/005 , G06N99/005 , G06Q10/067 , G06Q10/087 , G06Q30/0242 , G06Q30/0269 , H04L51/02 , H04L51/04 , H04L51/14 , H04L51/30
摘要： Techniques are described herein for predicting one or more behaviors by an email recipient and, more specifically, to machine learning techniques for predicting one or more behaviors of an email recipient, changing one or more components in the email to increase the likelihood of a behavior, and determining and/or scheduling an optimal time to send the email. Some advantages of the embodiments disclosed herein may include, without limitation, the ability to predict the behavior of the email recipient and suggest the characteristics of an email which will increase the likelihood of a positive behavior, such as a reading or responding to the email, visiting a website, calling a sales representative, or opening an email attachment.
摘要翻译：这里描述了用于通过电子邮件接收者预测一种或多种行为的技术，更具体地，涉及用于预测电子邮件接收者的一个或多个行为的机器学习技术，改变电子邮件中的一个或多个组件以增加行为的可能性，以及确定和/或调度发送电子邮件的最佳时间。本文公开的实施例的一些优点可以包括但不限于预测电子邮件接收者的行为并建议电子邮件的特征的能力，其将增加积极行为（例如阅读或响应电子邮件）的可能性，访问网站，致电销售代表或打开电子邮件附件。

6. 发明授权

US09317816B2 Email optimization for predicted recipient behavior: suggesting changes that are more likely to cause a target behavior to occur 有权
标题翻译：预测收件人行为的电子邮件优化：提出更可能导致目标行为发生的更改
公开(公告)号：US09317816B2
公开(公告)日：2016-04-19
申请号：US14503240
申请日：2014-09-30
申请人： InsideSales.com, Inc.
发明人： Xinchuan Zeng , Kalyan Penta , David Randal Elkington
IPC分类号： G06N99/00 , H04L12/58
CPC分类号： H04L51/22 , G06N7/005 , G06N99/005 , G06Q10/067 , G06Q10/087 , G06Q30/0242 , G06Q30/0269 , H04L51/02 , H04L51/04 , H04L51/14 , H04L51/30
摘要： Techniques are described herein for predicting one or more behaviors by an email recipient and, more specifically, to machine learning techniques for predicting one or more behaviors of an email recipient, changing one or more components in the email to increase the likelihood of a behavior, and determining and/or scheduling an optimal time to send the email. Some advantages of the embodiments disclosed herein may include, without limitation, the ability to predict the behavior of the email recipient and suggest the characteristics of an email which will increase the likelihood of a positive behavior, such as a reading or responding to the email, visiting a website, calling a sales representative, or opening an email attachment.
摘要翻译：这里描述了用于通过电子邮件接收者预测一种或多种行为的技术，更具体地，涉及用于预测电子邮件接收者的一个或多个行为的机器学习技术，改变电子邮件中的一个或多个组件以增加行为的可能性，以及确定和/或调度发送电子邮件的最佳时间。本文公开的实施例的一些优点可以包括但不限于预测电子邮件接收者的行为并建议电子邮件的特征的能力，其将增加积极行为（例如阅读或响应电子邮件）的可能性，访问网站，致电销售代表或打开电子邮件附件。

7. 发明授权

US09213763B2 System and method for responding to web form inquiries 有权
标题翻译：响应Web表单查询的系统和方法
公开(公告)号：US09213763B2
公开(公告)日：2015-12-15
申请号：US13935379
申请日：2013-07-03
申请人： InsideSales.com, Inc.
发明人： Thomas Jeffrey Purdy , David Randal Elkington , Jeremiah Johnson , Kenneth David Krogue , James B. Oldroyd
IPC分类号： G06F15/16 , G06Q10/00 , G06F17/30 , G06F17/24
CPC分类号： G06F17/30861 , G06F17/243
摘要： An apparatus, system, and method are disclosed for generating contact plans and responding to web form inquires using the contact plans.
摘要翻译：公开了一种设备，系统和方法，用于生成联系方案并使用联系方案响应web表单查询。

8. 发明授权

US08775332B1 Adaptive user interfaces 有权
标题翻译：自适应用户界面
公开(公告)号：US08775332B1
公开(公告)日：2014-07-08
申请号：US13916600
申请日：2013-06-13
申请人： InsideSales.com, Inc.
发明人： Richard Glenn Morris , Xinchuan Zeng , David Randal Elkington
IPC分类号： G06F17/00 , G06F17/20 , G06N7/00 , G06F9/44 , G06F3/0482 , G06F19/00 , G06F17/21
CPC分类号： G06N99/005 , G06N5/02
摘要： According to various embodiments of the present invention, user performance and/or motivation for a computing system may be maximized by optimizing one or more target components of a user interface of the computing system. The target components may be aspects of the user interface that is perceived by the user. One or more input features and one or more output features may be identified, and data regarding these input and output features may be gathered. This data may be compared with the results generated by a set of candidate artificial intelligence algorithms to determine which of them provides the best fit with the data collected. Then, the selected artificial intelligence algorithm may be applied to the user interface to iteratively change the target components over time until the optimal settings for each user are discovered.
摘要翻译：根据本发明的各种实施例，可以通过优化计算系统的用户界面的一个或多个目标组件来最大化用于计算系统的用户性能和/或动机。目标组件可以是用户感知的用户界面的方面。可以识别一个或多个输入特征和一个或多个输出特征，并且可以收集关于这些输入和输出特征的数据。该数据可以与由一组候选人工智能算法产生的结果进行比较，以确定其中的哪一个与收集的数据提供最佳匹配。然后，所选择的人工智能算法可以被应用于用户界面，以随着时间的推移来迭代地改变目标分量，直到发现每个用户的最佳设置。

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