专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US07966282B2 Interactive machine learning advice facility with contextual suggestions 有权
标题翻译：交互式机器学习咨询设施，具有上下文建议
公开(公告)号：US07966282B2
公开(公告)日：2011-06-21
申请号：US12503334
申请日：2009-07-15
申请人： Thomas Pinckney , Chris Dixon , Matthew Ryan Gattis
发明人： Thomas Pinckney , Chris Dixon , Matthew Ryan Gattis
IPC分类号： G06F15/00 , G06F15/18
CPC分类号： G06N99/005 , G06Q30/0601
摘要： 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.
摘要翻译：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。

2. 发明申请

US20090119234A1 INTERACTIVE MACHINE LEARNING ADVICE FACILITY 有权
标题翻译：互动机器学习设施
公开(公告)号：US20090119234A1
公开(公告)日：2009-05-07
申请号：US12262862
申请日：2008-10-31
申请人： Thomas PINCKNEY , Chris DIXON , Matthew Ryan GATTIS
发明人： Thomas PINCKNEY , Chris DIXON , Matthew Ryan GATTIS
IPC分类号： G06F15/18
CPC分类号： G06N99/005
摘要： 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.
摘要翻译：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。

3. 发明授权

US08032481B2 Interactive computing advice facility that infers user profiles from social networking relationships 有权
标题翻译：交互式计算建议工具，从社交网络关系推断用户简档
公开(公告)号：US08032481B2
公开(公告)日：2011-10-04
申请号：US12503263
申请日：2009-07-15
申请人： Thomas Pinckney , Chris Dixon , Matthew Ryan Gattis
发明人： Thomas Pinckney , Chris Dixon , Matthew Ryan Gattis
IPC分类号： G06F15/00 , G06F15/18
CPC分类号： G06N99/005 , G06Q30/0601
摘要： 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.
摘要翻译：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. 发明授权

US08032480B2 Interactive computing advice facility with learning based on user feedback 有权
标题翻译：交互式计算建议功能，基于用户反馈进行学习
公开(公告)号：US08032480B2
公开(公告)日：2011-10-04
申请号：US12483768
申请日：2009-06-12
申请人： Thomas Pinckney , Chris Dixon , Matthew Ryan Gattis
发明人： Thomas Pinckney , Chris Dixon , Matthew Ryan Gattis
IPC分类号： G06F15/00 , G06F15/18
CPC分类号： G06N99/005 , G06Q30/0601
摘要： 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.
摘要翻译：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。

5. 发明授权

US07958066B2 Interactive machine learning advice facility 有权
标题翻译：互动机器学习咨询设施
公开(公告)号：US07958066B2
公开(公告)日：2011-06-07
申请号：US12262862
申请日：2008-10-31
申请人： Thomas Pinckney , Chris Dixon , Matthew Ryan Gattis
发明人： Thomas Pinckney , Chris Dixon , Matthew Ryan Gattis
IPC分类号： G06F15/18
CPC分类号： G06N99/005
摘要： 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.
摘要翻译：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。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式