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公开(公告)号：US10325221B2
公开(公告)日：2019-06-18
申请号：US14728440
申请日：2015-06-02
IPC分类号： G06N20/00 , G06F16/78 , G06F16/907 , G06F16/9535
摘要： One or more techniques and/or systems are provided for metadata tag evaluation. For example, a metadata tag, associated with content, may be identified (e.g., a hashtag #ML may be used to tag a social network post). A set of characters, within the content, may be evaluated utilizing a probability matrix and the content to identify an expanded metadata tag (e.g., an expanded hashtag “machine learning”). Descriptive content, such as websites, articles, social network posts, and/or other content associated with the expanded metadata tag, may be retrieved. A description for the metadata tag may be generated based upon the descriptive content (e.g., a definition for machine learning). In this way, the description, related metadata tags, and/or supplemental content may be provided to users having an interest in learning about the metadata tag.
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公开(公告)号：US20160358096A1
公开(公告)日：2016-12-08
申请号：US14728440
申请日：2015-06-02
CPC分类号： G06N99/005 , G06F17/3082 , G06F17/30867 , G06F17/30997
摘要： One or more techniques and/or systems are provided for metadata tag evaluation. For example, a metadata tag, associated with content, may be identified (e.g., a hashtag #ML may be used to tag a social network post). A set of characters, within the content, may be evaluated utilizing a probability matrix and the content to identify an expanded metadata tag (e.g., an expanded hashtag “machine learning”). Descriptive content, such as websites, articles, social network posts, and/or other content associated with the expanded metadata tag, may be retrieved. A description for the metadata tag may be generated based upon the descriptive content (e.g., a definition for machine learning). In this way, the description, related metadata tags, and/or supplemental content may be provided to users having an interest in learning about the metadata tag.
摘要翻译： 提供用于元数据标签评估的一个或多个技术和/或系统。 例如，可以识别与内容相关联的元数据标签（例如，标签#ML可以用于标记社交网络帖子）。 可以使用概率矩阵和内容来评估内容内的一组字符以识别扩展的元数据标签（例如，扩展的主题标签“机器学习”）。 可以检索诸如网站，文章，社交网络帖子和/或与扩展的元数据标签相关联的其他内容的描述性内容。 可以基于描述内容（例如，机器学习的定义）来生成元数据标签的描述。 以这种方式，可以向有兴趣了解元数据标签的用户提供描述，相关元数据标签和/或补充内容。
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公开(公告)号：US20190287019A1
公开(公告)日：2019-09-19
申请号：US16427263
申请日：2019-05-30
IPC分类号： G06N20/00 , G06F16/78 , G06F16/907 , G06F16/9535
摘要： One or more techniques and/or systems are provided for metadata tag evaluation. For example, a metadata tag, associated with content, may be identified (e.g., a hashtag #ML may be used to tag a social network post). A set of characters, within the content, may be evaluated utilizing a probability matrix and the content to identify an expanded metadata tag (e.g., an expanded hashtag “machine learning”). Descriptive content, such as websites, articles, social network posts, and/or other content associated with the expanded metadata tag, may be retrieved. A description for the metadata tag may be generated based upon the descriptive content (e.g., a definition for machine learning). In this way, the description, related metadata tags, and/or supplemental content may be provided to users having an interest in learning about the metadata tag.
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