会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 2. 发明授权
    • Contextual responses based on automated learning techniques
    • 基于自动学习技术的语境回应
    • US06842877B2
    • 2005-01-11
    • US09825152
    • 2001-04-02
    • James O. RobartsEric L. Matteson
    • James O. RobartsEric L. Matteson
    • G06F1/00G06F1/16G06F3/00G06F3/01G06F3/042G06F15/18G06F17/30G06F21/00G09G5/00
    • G06F1/163G06F3/011G06F3/016G06F17/30017G06F19/00G06F21/00G06F21/606G06F21/6245G06F2221/2149G06N3/004G06N99/005
    • Techniques are disclosed for using a combination of explicit and implicit user context modeling techniques to identify and provide appropriate computer actions based on a current context, and to continuously improve the providing of such computer actions. The appropriate computer actions include presentation of appropriate content and functionality. Feedback paths can be used to assist automated machine learning in detecting patterns and generating inferred rules, and improvements from the generated rules can be implemented with or without direct user control. The techniques can be used to enhance software and device functionality, including self-customizing of a model of the user's current context or situation, customizing received themes, predicting appropriate content for presentation or retrieval, self-customizing of software user interfaces, simplifying repetitive tasks or situations, and mentoring of the user to promote desired change.
    • 公开了使用显式和隐式用户上下文建模技术的组合的技术来基于当前上下文来识别和提供适当的计算机动作,并且不断地改进这种计算机动作的提供。 适当的计算机操作包括呈现适当的内容和功能。 可以使用反馈路径来帮助自动机器学习检测模式并生成推断的规则,并且可以使用或不使用直接用户控制来实现来自生成的规则的改进。 这些技术可用于增强软件和设备功能,包括自定义用户当前上下文或情况的模型,自定义接收到的主题,预测适当的内容进行呈现或检索,自定义软件用户界面,简化重复任务 或情况,以及指导用户促进所需的变化。
    • 3. 发明授权
    • Binding spreadsheet cells to objects
    • 将电子表格单元格绑定到对象
    • US06701485B1
    • 2004-03-02
    • US09333756
    • 1999-06-15
    • Mark S. IgraEric L. MattesonAndrew M. P. Milton
    • Mark S. IgraEric L. MattesonAndrew M. P. Milton
    • G06F1500
    • G06F17/246
    • Spreadsheet cells are bound to external objects using a direct communication scheme having little processing overhead. A spreadsheet cell is bound to an object external to the spreadsheet, exposing a property or method of the object. The exposed property or method can then be used to update the value of the spreadsheet cell, either automatically when the exposed property changes, or in response to a request from the spreadsheet. The spreadsheet is preferably a spreadsheet COM control, which is embedded in a web page that is preferably browsed with a Microsoft INTERNET EXPLORER™ browser. The external object is also preferably embedded in the web page and may include an automatic control that is used to acquire data over a network such as the Internet.
    • 使用直接通信方案,电子表格单元与外部对象绑定,处理开销很小。 电子表格单元格绑定到电子表格外部的对象,暴露对象的属性或方法。 然后,暴露的属性或方法可用于在暴露的属性更改时自动更新电子表格单元格的值,或者响应于电子表格的请求。 该电子表格优选地是一个电子表格COM控件,它被嵌入在优选用Microsoft INTERNET EXPLORER TM浏览器浏览的网页中。 外部对象也优选地嵌入在网页中,并且可以包括用于通过诸如因特网的网络获取数据的自动控制。
    • 4. 发明授权
    • Contextual responses based on automated learning techniques
    • 基于自动学习技术的语境回应
    • US08020104B2
    • 2011-09-13
    • US11033974
    • 2005-01-11
    • James O. RobartsEric L. Matteson
    • James O. RobartsEric L. Matteson
    • G06F3/00G06N5/00
    • G06F1/163G06F3/011G06F3/016G06F17/30017G06F19/00G06F21/00G06F21/606G06F21/6245G06F2221/2149G06N3/004G06N99/005
    • Techniques are disclosed for using a combination of explicit and implicit user context modeling techniques to identify and provide appropriate computer actions based on a current context, and to continuously improve the providing of such computer actions. The appropriate computer actions include presentation of appropriate content and functionality. Feedback paths can be used to assist automated machine learning in detecting patterns and generating inferred rules, and improvements from the generated rules can be implemented with or without direct user control. The techniques can be used to enhance software and device functionality, including self-customizing of a model of the user's current context or situation, customizing received themes, predicting appropriate content for presentation or retrieval, self-customizing of software user interfaces, simplifying repetitive tasks or situations, and mentoring of the user to promote desired change.
    • 公开了使用显式和隐式用户上下文建模技术的组合的技术来基于当前上下文来识别和提供适当的计算机动作,并且不断地改进这种计算机动作的提供。 适当的计算机操作包括呈现适当的内容和功能。 可以使用反馈路径来帮助自动机器学习检测模式并生成推断的规则,并且可以使用或不使用直接用户控制来实现来自生成的规则的改进。 这些技术可用于增强软件和设备功能,包括自定义用户当前上下文或情况的模型,自定义接收到的主题,预测适当的内容进行呈现或检索,自定义软件用户界面,简化重复任务 或情况,以及指导用户促进所需的变化。