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    • 1. 发明授权
    • Decalcomania application method and apparatus
    • Decalcomania应用方法和装置
    • US5660658A
    • 1997-08-26
    • US522015
    • 1995-08-31
    • Lance JohnsonPhilip MeereChris DixonAndrew Martyniuk
    • Lance JohnsonPhilip MeereChris DixonAndrew Martyniuk
    • B44C1/175B32B31/00
    • B44C1/175
    • A method and apparatus for preconditioning a decalcomania transfer for application to a receiving substrate in which the decalcomania is passed through a solution to precondition it for transfer. The decalcomania is fed through a pair of opposed web-like members, passed through a solution bath and has excess solution removed from the decalcomania prior to application to the receiving surface. By controlling the speed of the web-like members, the submersion time of the decalcomania in the solution is controlled. The apparatus is a container which houses the web-like feeder belts and the solution bath. The bath is partially enclosed to minimize evaporation of the solution. A pair of rollers at the outlet of the apparatus control the amount of solution remaining in the decalcomania such that the decalcomania exiting the apparatus will have sufficient solution to allow easy transfer to the receiving surface yet not have too much solution as to result in excess dripping of solution on the receiving item.
    • 一种用于预处理墨滴转印以用于接收基底的方法和装置,其中所述的decalcomania通过溶液以预处理以便转印。 将十聚氰胺通过一对相对的网状构件进料,通过溶液浴,并且在施加到接收表面之前使多余的溶液从该十羧酸去除。 通过控制网状构件的速度,控制溶液中的decalcomania的浸没时间。 该装置是容纳网状进料带和溶液浴的容器。 浴液被部分封闭以最小化溶液的蒸发。 设备出口处的一对辊子控制残留在解墨中的溶液的量,使得离开设备的decalcomania将具有足够的解决方案,以便容易地转移到接收表面,但没有太多的溶液,导致多余的滴落 的接收项目的解决方案。
    • 2. 发明申请
    • INTERACTIVE COMPUTING ADVICE FACILITY THROUGH THIRD-PARTY DATA
    • 通过第三方数据的交互式计算机设施
    • US20100017348A1
    • 2010-01-21
    • US12503334
    • 2009-07-15
    • Thomas PinckneyChris DixonMatthew Ryan Gattis
    • Thomas PinckneyChris DixonMatthew Ryan Gattis
    • G06N5/02
    • G06N99/005G06Q30/0601
    • In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialog consisting of questions from the computing facility and answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.
    • 在本发明的实施例中,描述了改进的能力,以帮助用户通过使用计算设备作出决定,其中计算设备可以是机器学习设备。 该过程可以从计算设备从用户接收的初始问题开始。 然后可以向用户提供由来自计算设备的问题和由用户提供的答案组成的对话。 计算设备然后可以基于该对话并向与用户相关的初始问题(例如推荐,诊断,结论,建议等)向用户提供决定。 在实施例中,可以通过由用户提供的反馈来改进由计算设备提供的将来的问题和决策。 在实施例中,本发明可以与第三方应用结合使用。
    • 3. 发明申请
    • INTERACTIVE COMPUTING ADVICE FACILITY
    • 互动计算设备设施
    • US20090307159A1
    • 2009-12-10
    • US12483768
    • 2009-06-12
    • Thomas PinckneyChris DixonMatthew Ryan Gattis
    • Thomas PinckneyChris DixonMatthew Ryan Gattis
    • G06F15/18G06F17/20
    • G06N99/005G06Q30/0601
    • In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialog consisting of questions from the computing facility and answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.
    • 在本发明的实施例中,描述了改进的能力,以帮助用户通过使用计算设备作出决定,其中计算设备可以是机器学习设备。 该过程可以从计算设备从用户接收的初始问题开始。 然后可以向用户提供由来自计算设备的问题和由用户提供的答案组成的对话。 计算设备然后可以基于该对话并向与用户相关的初始问题(例如推荐,诊断,结论,建议等)向用户提供决定。 在实施例中,可以通过由用户提供的反馈来改进由计算设备提供的将来的问题和决策。 在实施例中,本发明可以与第三方应用结合使用。
    • 4. 发明申请
    • Remotely Configuring Content
    • 远程配置内容
    • US20120315008A1
    • 2012-12-13
    • US13155940
    • 2011-06-08
    • Chris DixonJason Smith
    • Chris DixonJason Smith
    • H04N5/775H04N5/76G06Q30/00
    • G06Q30/00H04N21/4227H04N21/4334H04N21/472H04N21/482H04N21/485H04N21/812
    • A system is presented that comprises a third-party ad provider that serves advertisements to different websites being viewed at a plurality of display devices. The advertisements may be from different advertisers, and may include advertisements from a content service provider. The advertisements from the service provider may include a promotion for a video program presented by the service provider and may provide a selectable option for a viewer of the website to have that viewer's DVR service automatically programmed to record the promoted video program. The selectable option may be selected with a single action by the viewer, and all communications, associations between the display device and the DVR service, and programming of the DVR service may occur automatically without intervention by the viewer.
    • 提出了一种系统,其包括向在多个显示设备上观看的不同网站的广告投放的第三方广告提供商。 广告可以来自不同的广告商,并且可以包括来自内容服务提供商的广告。 来自服务提供商的广告可以包括对由服务提供商呈现的视频节目的促销,并且可以为网站的观众提供可选择的选项,以使该观众的DVR服务被自动编程以记录所宣传的视频节目。 可选择的选项可以由观看者的单个动作来选择,并且显示设备和DVR服务之间的所有通信,关联以及DVR服务的编程可以在观看者的干预下自动发生。
    • 5. 发明授权
    • Interactive machine learning advice facility with contextual suggestions
    • 交互式机器学习咨询设施,具有上下文建议
    • US07966282B2
    • 2011-06-21
    • US12503334
    • 2009-07-15
    • Thomas PinckneyChris DixonMatthew Ryan Gattis
    • Thomas PinckneyChris DixonMatthew Ryan Gattis
    • G06F15/00G06F15/18
    • G06N99/005G06Q30/0601
    • In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialog consisting of questions from the computing facility and answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.
    • 在本发明的实施例中,描述了改进的能力,以帮助用户通过使用计算设备作出决定,其中计算设备可以是机器学习设备。 该过程可以从计算设备从用户接收的初始问题开始。 然后可以向用户提供由来自计算设备的问题和由用户提供的答案组成的对话。 然后,计算设备可以基于该对话并向用户提供关于初始问题的决定,例如推荐,诊断,结论,建议等。 在实施例中,可以通过由用户提供的反馈来改进由计算设备提供的将来的问题和决策。 在实施例中,本发明可以与第三方应用结合使用。
    • 6. 发明申请
    • INTERACTIVE MACHINE LEARNING ADVICE FACILITY
    • 互动机器学习设施
    • US20090119234A1
    • 2009-05-07
    • US12262862
    • 2008-10-31
    • Thomas PINCKNEYChris DIXONMatthew Ryan GATTIS
    • Thomas PINCKNEYChris DIXONMatthew Ryan GATTIS
    • G06F15/18
    • G06N99/005
    • In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a machine learning facility. The process may begin with an initial question being received by the machine learning facility from the user. The user may then be provided with a dialog consisting of questions from the machine learning facility and answers provided by the user. The machine learning facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the machine learning facility may be improved through feedback provided by the user.
    • 在本发明的实施例中,描述了改进的能力,以帮助用户通过使用机器学习设施做出决定。 该过程可以从机器学习设施从用户接收到的初始问题开始。 然后可以向用户提供由来自机器学习设施的问题和由用户提供的答案组成的对话。 然后,机器学习设施可以基于对话并且关于初始问题(例如推荐,诊断,结论,建议等)向用户提供决定。 在实施例中,可以通过由用户提供的反馈来改进机器学习设施提供的未来问题和决策。
    • 8. 发明授权
    • Interactive computing advice facility that infers user profiles from social networking relationships
    • 交互式计算建议工具,从社交网络关系推断用户简档
    • US08032481B2
    • 2011-10-04
    • US12503263
    • 2009-07-15
    • Thomas PinckneyChris DixonMatthew Ryan Gattis
    • Thomas PinckneyChris DixonMatthew Ryan Gattis
    • G06F15/00G06F15/18
    • G06N99/005G06Q30/0601
    • In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialog consisting of questions from the computing facility and answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.
    • 在本发明的实施例中,描述了改进的能力,以帮助用户通过使用计算设备作出决定,其中计算设备可以是机器学习设备。 该过程可以从计算设备从用户接收的初始问题开始。 然后可以向用户提供由来自计算设备的问题和由用户提供的答案组成的对话。 计算设备然后可以基于该对话并向与用户相关的初始问题(例如推荐,诊断,结论,建议等)向用户提供决定。 在实施例中,可以通过由用户提供的反馈来改进由计算设备提供的将来的问题和决策。 在实施例中,本发明可以与第三方应用结合使用。
    • 9. 发明授权
    • Interactive computing advice facility with learning based on user feedback
    • 交互式计算建议功能,基于用户反馈进行学习
    • US08032480B2
    • 2011-10-04
    • US12483768
    • 2009-06-12
    • Thomas PinckneyChris DixonMatthew Ryan Gattis
    • Thomas PinckneyChris DixonMatthew Ryan Gattis
    • G06F15/00G06F15/18
    • G06N99/005G06Q30/0601
    • In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialogue consisting of questions from the computing facility and the answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.
    • 在本发明的实施例中,描述了改进的能力,以帮助用户通过使用计算设备作出决定,其中计算设备可以是机器学习设备。 该过程可以从计算设备从用户接收的初始问题开始。 然后可以向用户提供由来自计算设备的问题和由用户提供的答案组成的对话。 计算设备然后可以基于该对话并向与用户相关的初始问题(例如推荐,诊断,结论,建议等)向用户提供决定。 在实施例中,可以通过由用户提供的反馈来改进由计算设备提供的将来的问题和决策。 在实施例中,本发明可以与第三方应用结合使用。
    • 10. 发明授权
    • Interactive machine learning advice facility
    • 互动机器学习咨询设施
    • US07958066B2
    • 2011-06-07
    • US12262862
    • 2008-10-31
    • Thomas PinckneyChris DixonMatthew Ryan Gattis
    • Thomas PinckneyChris DixonMatthew Ryan Gattis
    • G06F15/18
    • G06N99/005
    • In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a machine learning facility. The process may begin with an initial question being received by the machine learning facility from the user. The user may then be provided with a dialog consisting of questions from the machine learning facility and answers provided by the user. The machine learning facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the machine learning facility may be improved through feedback provided by the user.
    • 在本发明的实施例中,描述了改进的能力,以帮助用户通过使用机器学习设施做出决定。 该过程可以从机器学习设施从用户接收到的初始问题开始。 然后可以向用户提供由来自机器学习设施的问题和由用户提供的答案组成的对话。 然后,机器学习设施可以基于对话并且关于初始问题(例如推荐,诊断,结论,建议等)向用户提供决定。 在实施例中,可以通过由用户提供的反馈来改进机器学习设施提供的未来问题和决策。