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公开(公告)号：US08949377B2
公开(公告)日：2015-02-03
申请号：US13084060
申请日：2011-04-11
IPC分类号： G06F15/16 , G06F17/27 , G06F17/30 , G06N99/00 , G06Q10/06 , G06Q10/10 , G06Q30/02 , H04L12/58 , G06F9/44
CPC分类号： G06F17/2785 , G06F9/453 , G06F17/30867 , G06N99/005 , G06Q10/0639 , G06Q10/10 , G06Q30/02 , G06Q30/0253 , H04L51/02
摘要： The present invention is uniquely designed to interact with web retailer's customers with real agent reaction times as they give astute answers directly concerning web retailer's products and goals. The entire process is manageable through a third-party website which includes scripting, settings and other parameters selected by the web retailer. An artificial intelligence engine uses the combination of Bayesian probability keyword selection, natural language parsing and regular expression processing. The technology updates its response database with every client interaction-learning always takes place as it simulates a live agent, in real time. Every client interaction is recorded and analyzed, and as a result of the analysis the changes in the answer database are made.
摘要翻译： 本发明独特地设计成与网络零售商的客户进行互动，具有真实的代理反应时间，因为它们直接提供有关网络零售商的产品和目标的明确答案。 整个流程可通过第三方网站进行管理，该网站包括网络零售商选择的脚本，设置和其他参数。 人工智能引擎使用贝叶斯概率关键字选择，自然语言解析和正则表达式处理的组合。 该技术随着每个客户端交互更新其响应数据库 - 学习总是在实时模拟实时代理时发生。 记录和分析每个客户端交互，并作为分析的结果，做出答案数据库中的更改。
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公开(公告)号：US08738739B2
公开(公告)日：2014-05-27
申请号：US13277420
申请日：2011-10-20
申请人： Michael G. Makar , Tracy A. Tindall
发明人： Michael G. Makar , Tracy A. Tindall
IPC分类号： G06F15/16
CPC分类号： G06Q30/02 , G06F9/453 , G06F17/30867 , G06N99/005 , G06Q10/10 , G06Q30/0255 , G06Q30/0269
摘要： Disclosed is a novel system and process to use information gathered by a chatbot system including explanations why a potential customer is discontinuing a transaction. The transaction in one example is a sales transaction. This information is associated with the potential customer. Using this information, the present invention enhances the message targeting by advertisers and remarketing system for the identified potential customer. The advertisers and remarketing systems use the information from the chatbot system to automatically select messaging and advertisements.
摘要翻译： 公开了一种使用由chatbot系统收集的信息的新颖的系统和过程，包括为什么潜在客户停止交易的解释。 一个例子中的交易是一个销售交易。 此信息与潜在客户相关联。 使用该信息，本发明增强了针对所识别的潜在客户的广告商和再营销系统的消息定位。 广告客户和再营销系统使用来自chatbot系统的信息来自动选择消息和广告。
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公开(公告)号：US20110213642A1
公开(公告)日：2011-09-01
申请号：US13084060
申请日：2011-04-11
CPC分类号： G06F17/2785 , G06F9/453 , G06F17/30867 , G06N99/005 , G06Q10/0639 , G06Q10/10 , G06Q30/02 , G06Q30/0253 , H04L51/02
摘要： The present invention is uniquely designed to interact with web retailer's customers with real agent reaction times as they give astute answers directly concerning web retailer's products and goals. The entire process is manageable through a third-party website which includes scripting, settings and other parameters selected by the web retailer. An artificial intelligence engine uses the combination of Bayesian probability keyword selection, natural language parsing and regular expression processing. The technology updates its response database with every client interaction-learning always takes place as it simulates a live agent, in real time. Every client interaction is recorded and analyzed, and as a result of the analysis the changes in the answer database are made.
摘要翻译： 本发明独特地设计成与网络零售商的客户进行互动，具有真实的代理反应时间，因为它们直接提供有关网络零售商的产品和目标的明确答案。 整个流程可通过第三方网站进行管理，该网站包括网络零售商选择的脚本，设置和其他参数。 人工智能引擎使用贝叶斯概率关键字选择，自然语言解析和正则表达式处理的组合。 该技术随着每个客户端交互更新其响应数据库 - 学习总是在实时模拟实时代理时发生。 记录和分析每个客户端交互，并作为分析的结果，做出答案数据库中的更改。
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公开(公告)号：US07962578B2
公开(公告)日：2011-06-14
申请号：US12124531
申请日：2008-05-21
IPC分类号： G06F15/16
CPC分类号： G06N99/005 , G06F9/44 , G06F17/30 , G06Q30/02
摘要： The present invention is uniquely designed to interact with web retailer's customers with real agent reaction times as they give astute answers directly concerning web retailer's products and goals. The entire process is manageable through a third-party website which includes scripting, settings and other parameters selected by the web retailer. An artificial intelligence engine uses the combination of Bayesian probability keyword selection, natural language parsing and regular expression processing. The technology updates its response database with every client interaction-learning always takes place as it simulates a live agent, in real time. Every client interaction is recorded and analyzed, and as a result of the analysis the changes in the answer database are made.
摘要翻译： 本发明独特地设计成与网络零售商的客户进行互动，具有真实的代理反应时间，因为它们直接提供有关网络零售商的产品和目标的明确答案。 整个流程可通过第三方网站进行管理，该网站包括网络零售商选择的脚本，设置和其他参数。 人工智能引擎使用贝叶斯概率关键字选择，自然语言解析和正则表达式处理的组合。 该技术随着每个客户端交互更新其响应数据库 - 学习总是在实时模拟实时代理时发生。 记录和分析每个客户端交互，并作为分析的结果，做出答案数据库中的更改。
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5.发明授权Method and system of auxiliary illumination for enhancing a scene during a multimedia presentation 有权辅助照明的方法和系统，用于在多媒体呈现期间增强场景公开(公告)号：US06564108B1
公开(公告)日：2003-05-13
申请号：US09588953
申请日：2000-06-07
IPC分类号： G05B1101
CPC分类号： H05B37/0254 , H05B37/029
摘要： A method to present auxiliary lighting for enhancing a scene during a multimedia presentation. The method in photonic enclosure comprising the steps of: coupling one or more illumination sources over a network, so that at least one illumination source of the one or more illumination sources is capable of being uniquely addressed; displaying a multimedia presentation; reading a series of preprogrammed illumination identifiers stored in computer readable medium corresponding with the primary multimedia presentation; interpreting one or more illumination identifiers to set one or more illumination sources for a period of time and to set the address of at least one of the one or more illumination sources; and sending a set signal in response to the interpretation of the one more illumination identifiers to one or more illumination sources over the network. In another embodiment, a gaming helmet is disclosed as the photonic enclosure used to carry out the above method. In yet another embodiment, a system and computer readable medium is described to carry out the above method.
摘要翻译： 一种呈现用于在多媒体呈现期间增强场景的辅助照明的方法。 光子外壳中的方法包括以下步骤：通过网络耦合一个或多个照明源，使得一个或多个照明源的至少一个照明源能够被唯一地寻址; 展示多媒体演示; 读取存储在与主要多媒体呈现相对应的计算机可读介质中的一系列预编程照明标识符; 解释一个或多个照明标识符以在一段时间内设置一个或多个照明源并且设置所述一个或多个照明源中的至少一个照明源的地址; 并且响应于通过网络将一个或多个照明标识符的解释响应于一个或多个照明标识符的解释来发送设置信号。在另一个实施例中，公开了游戏头盔作为用于执行上述方法的光子外壳。在另一个实施例中 描述了一种系统和计算机可读介质来执行上述方法。
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6.发明授权Method and system for filtering messages based on a user profile and an informational processing system event 有权基于用户简档和信息处理系统事件过滤消息的方法和系统公开(公告)号：US06708203B1
公开(公告)日：2004-03-16
申请号：US09348218
申请日：1999-07-06
IPC分类号： G06F1516
CPC分类号： G06F3/0489 , Y10S707/99936
摘要： A method is illustrated in the flow diagram 100 of FIG. 1. A processor 1001 renders a message 1025 for the processor operator's education during times of processor latency 1015, such as dialing onto any network, such as the Internet. This wait time 1017 is normally non-productive, and therefore can be used in such a way as to be non-invasive. It is also understood that this time is short, so as to make other actions, such as getting up from the desk, not attractive. Finally, even if the wait time was, or became, very short, the present invention provides the first message 1025 to the process operator that has been filtered. This filtering is a balance of the message owner's willingness to out bid other messages, the time of the day, the location of the operator, and finally the operator's likes and dislikes.
摘要翻译： 在图1的流程图100中示出了一种方法。 处理器1001在处理器延迟1015的时间期间呈现用于处理器操作员的教育的消息1025，诸如拨号到诸如因特网的任何网络。 这种等待时间1017通常是非生产性的，因此可以以非侵入性的方式使用。 另据了解，这个时间很短，以便采取其他行动，例如从桌子起床，不吸引人。 最后，即使等待时间是或者变得非常短，本发明向被过滤的处理操作者提供了第一消息1025。 这种过滤是消息所有者愿意出价其他消息，一天中的时间，运营商的位置，以及最后的运营商的喜欢和不喜欢的平衡。
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公开(公告)号：US20120095835A1
公开(公告)日：2012-04-19
申请号：US13277420
申请日：2011-10-20
申请人： Michael G. MAKAR , Tracy A. TINDALL
发明人： Michael G. MAKAR , Tracy A. TINDALL
IPC分类号： G06Q30/02
CPC分类号： G06Q30/02 , G06F9/453 , G06F17/30867 , G06N99/005 , G06Q10/10 , G06Q30/0255 , G06Q30/0269
摘要： Disclosed is a novel system and process to use information gathered by a chatbot system including explanations why a potential customer is discontinuing a transaction. The transaction in one example is a sales transaction. This information is associated with the potential customer. Using this information, the present invention enhances the message targeting by advertisers and remarketing system for the identified potential customer. The advertisers and remarketing systems use the information from the chatbot system to automatically select messaging and advertisements.
摘要翻译： 公开了一种使用由chatbot系统收集的信息的新颖的系统和过程，包括为什么潜在客户中断交易的解释。 一个例子中的交易是一个销售交易。 此信息与潜在客户相关联。 使用该信息，本发明增强了针对所识别的潜在客户的广告商和再营销系统的消息定位。 广告客户和再营销系统使用来自chatbot系统的信息来自动选择消息和广告。
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公开(公告)号：US20090292778A1
公开(公告)日：2009-11-26
申请号：US12124531
申请日：2008-05-21
CPC分类号： G06N99/005 , G06F9/44 , G06F17/30 , G06Q30/02
摘要： The present invention is uniquely designed to interact with web retailer's customers with real agent reaction times as they give astute answers directly concerning web retailer's products and goals. The entire process is manageable through a third-party website which includes scripting, settings and other parameters selected by the web retailer. An artificial intelligence engine uses the combination of Bayesian probability keyword selection, natural language parsing and regular expression processing. The technology updates its response database with every client interaction-learning always takes place as it simulates a live agent, in real time. Every client interaction is recorded and analyzed, and as a result of the analysis the changes in the answer database are made.
摘要翻译： 本发明独特地设计成与网络零售商的客户进行互动，具有真实的代理反应时间，因为它们直接提供有关网络零售商的产品和目标的明确答案。 整个流程可通过第三方网站进行管理，该网站包括网络零售商选择的脚本，设置和其他参数。 人工智能引擎使用贝叶斯概率关键字选择，自然语言解析和正则表达式处理的组合。 该技术随着每个客户端交互更新其响应数据库 - 学习总是在实时模拟实时代理时发生。 记录和分析每个客户端交互，并作为分析的结果，做出答案数据库中的更改。
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