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    • 7. 发明授权
    • GUI based web search
    • 基于GUI的网页搜索
    • US08949215B2
    • 2015-02-03
    • US12038588
    • 2008-02-27
    • Min WangZheng ChenJian-Tao SunShen HuangJian Wang
    • Min WangZheng ChenJian-Tao SunShen HuangJian Wang
    • G06F17/30
    • G06F17/30696G06F17/30643G06F17/30864
    • An exemplary computer implemented graphics-based Web search system includes a search input control and a results presentation control where the search input control is configured to receive user input to establish a relationship between a query and one or more information tags associated with search results provided by a search engine in response to the query and wherein the results presentation control is configured to re-order the search results in response to the relationship. Such a system allows a user to define and refine search intent and enhance the user's search experience. Various other exemplary systems, methods, devices, etc. are also disclosed.
    • 示例性的计算机实现的基于图形的Web搜索系统包括搜索输入控制和结果呈现控制,其中搜索输入控件被配置为接收用户输入以建立查询与与由搜索结果提供的搜索结果相关联的一个或多个信息标签之间的关系 搜索引擎,其响应于所述查询,并且其中所述结果呈现控制被配置为响应于所述关系重新排序所述搜索结果。 这样的系统允许用户定义和优化搜索意图并增强用户的搜索体验。 还公开了各种其它示例性系统,方法,装置等。
    • 9. 发明授权
    • Smart attribute classification (SAC) for online reviews
    • 智能属性分类(SAC)用于在线评论
    • US08682896B2
    • 2014-03-25
    • US13412871
    • 2012-03-06
    • Jian HuJian-Tao SunZheng Chen
    • Jian HuJian-Tao SunZheng Chen
    • G06F7/00G06F17/30
    • G06N99/005G06F17/30707
    • Techniques for identifying attributes in a sentence and determining a number of attributes to be associated with the sentence is described. An attribute identification (AI) framework comprises an offline training portion, an online prediction portion, and an AI algorithm module. The offline training portion utilizes the relationships between attributes within sentences input to the offline training portion to improve attribute identification of the AI algorithm module. The online prediction portion predicts, for each sentence input, the attributes of the sentence and the number of attributes the sentence is associated with by employing the AI algorithm module.
    • 描述用于识别句子中的属性并确定与句子相关联的属性的数量的技术。 属性识别(AI)框架包括离线训练部分,在线预测部分和AI算法模块。 离线训练部分利用输入到离线训练部分的句子内的属性之间的关系来改善AI算法模块的属性识别。 在线预测部分通过使用AI算法模块来预测每个句子输入的句子的属性和句子相关联的属性的数量。
    • 10. 发明授权
    • Smart attribute classification (SAC) for online reviews
    • 智能属性分类(SAC)用于在线评论
    • US08156119B2
    • 2012-04-10
    • US12355987
    • 2009-01-19
    • Jian HuJian-Tao SunZheng Chen
    • Jian HuJian-Tao SunZheng Chen
    • G06F7/00G06F17/30
    • G06N99/005G06F17/30707
    • Techniques for identifying attributes in a sentence and determining a number of attributes to be associated with the sentence are described. The techniques employ an offline training portion, an online prediction portion, and an attribute identification algorithm. The offline training portion utilizes relationships between attributes within sentences input to the offline training portion to improve attribute identification of the attribute identification algorithm. The online prediction portion predicts, for each sentence input, the attributes of the sentence, and the number of attributes the sentence is associated with by employing the attribute identification algorithm.
    • 描述用于识别句子中的属性并确定与句子相关联的属性的数量的技术。 该技术采用离线训练部分,在线预测部分和属性识别算法。 离线训练部分利用输入到离线训练部分的句子内的属性之间的关系来改进属性识别算法的属性识别。 在线预测部分通过使用属性识别算法来预测每个句子输入的句子的属性以及该句子所关联的属性的数量。