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    • 31. 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。
    • 32. 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。
    • 33. 发明申请
    • INTERACTIVE COMPUTING ADVICE FACILITY THROUGH A SEARCH INTERFACE
    • 通过搜索界面的交互式计算机设施
    • US20100010913A1
    • 2010-01-14
    • US12503263
    • 2009-07-15
    • Thomas PinckneyChris DixonMatthew Ryan Gattis
    • Thomas PinckneyChris DixonMatthew Ryan Gattis
    • G06F17/30G06N5/02G06Q30/00G06F15/18
    • 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。