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    • 68. 发明授权
    • Selection-based item tagging
    • 基于选择的项目标记
    • US07831913B2
    • 2010-11-09
    • US11193586
    • 2005-07-29
    • Matthew B. MacLaurin
    • Matthew B. MacLaurin
    • G06F3/00
    • G06F17/3097G06F3/0482G06F17/218G06F17/241G06F17/276G06F17/30038G06F17/3012G06F17/30268G06F17/30557G06F17/30705G06F17/30707G06F17/30752G06F17/3082G06F2203/04803Y10S706/934Y10S715/968
    • Item selections along with user inputs are leveraged to provide users with automated item tagging. Further user interaction with additional windows and other interfacing techniques are not required to tag the item. In one example, a user selects items and begins typing a tag which is automatically associated with the selected items without further user action. Tagging suggestions can also be supplied based on a user's selection, be dynamically supplied based on a user's input action, and/or be formulated automatically based on user data and/or tags and the like associated with selections by an external source. Machine learning can also be utilized to facilitate in tag determination. This increases the value of the tagged items by providing greater item access flexibility and allowing multiple associations (or tags) with each item.
    • 项目选择以及用户输入被用于为用户提供自动化项目标记。 不需要进一步的用户与附加窗口和其他接口技术的交互来标记项目。 在一个示例中,用户选择项目并开始输入自动与所选项目相关联的标签,而不需要进一步的用户操作。 还可以基于用户的选择提供标签建议,基于用户的输入动作动态地提供标签建议,和/或基于与外部源的选择相关联的用户数据和/或标签等自动地进行标记。 机器学习也可以用于促进标签确定。 这通过提供更大的项目访问灵活性并允许与每个项目的多个关联(或标签)来增加标记项目的值。