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    • 5. 发明授权
    • Classifying results of search queries
    • 分类搜索查询结果
    • US09251185B2
    • 2016-02-02
    • US12969140
    • 2010-12-15
    • Girish KumarSanaz AhariFarid HosseiniNazan KhanAhmad AbdulkaderAnkur GuptaGiridhar KumaranVijay Nair
    • Girish KumarSanaz AhariFarid HosseiniNazan KhanAhmad AbdulkaderAnkur GuptaGiridhar KumaranVijay Nair
    • G06F7/00G06F17/30
    • G06F17/30303
    • Computer-readable media, computer systems, and computing methods are provided for classifying search results as either of good quality or of poor quality. Initially, a portion of the search results, such as the highest ranked documents, are selected for evaluation. A level of quality for each of the selected search results is determined using a classification process that includes the following steps: targeting features demonstrated by the selected search results to be evaluated; evaluating the selected features to generate a level-of-quality score for each of the selected search results; comparing the score against a predefined threshold value; and, based on the comparison, assigning each of the selected search results an absolute measurement. The absolute measurement indicates poor quality when the score is less than the threshold value. Upon recognizing that the selected search results are of poor quality, automatically executing a corrective action that reformulates the issued search query.
    • 提供计算机可读介质,计算机系统和计算方法,用于将搜索结果分类为质量好或品质差。 最初,选择搜索结果的一部分,例如最高排名的文档进行评估。 使用包括以下步骤的分类处理来确定每个所选择的搜索结果的质量水平:针对要被评估的所选择的搜索结果演示的目标特征; 评估所选择的特征以为每个所选择的搜索结果生成质量等级; 将分数与预定义的阈值进行比较; 并且基于比较,将所选择的搜索结果中的每一个分配给绝对测量。 当分数小于阈值时,绝对测量值表示质量差。 在识别出所选择的搜索结果质量差的情况下,自动执行重新发布的搜索查询的纠正措施。
    • 7. 发明申请
    • User Interface for Interactive Query Reformulation
    • 用于交互式查询重写的用户界面
    • US20120158765A1
    • 2012-06-21
    • US12969218
    • 2010-12-15
    • Girish KumarSanaz AhariFarid HosseiniMingrui WuAhmad AbdulkaderAnkur GuptaGiridhar KumaranAbdigani M. Diriye
    • Girish KumarSanaz AhariFarid HosseiniMingrui WuAhmad AbdulkaderAnkur GuptaGiridhar KumaranAbdigani M. Diriye
    • G06F17/30
    • G06F16/3325
    • Computer-readable media, computer systems, and computing methods are provided for classifying search results as either of good quality or of poor quality. Initially, a portion of the search results, such as the highest ranked documents, are selected for evaluation. A level of quality for each of the selected search results is determined using a classification process that includes the following steps: targeting features demonstrated by the selected search results to be evaluated; evaluating the selected features to generate a level-of-quality score for each of the selected search results; comparing the score against a predefined threshold value; and, based on the comparison, assigning each of the selected search results an absolute measurement. The absolute measurement indicates poor quality when the score is less than the threshold value. Upon recognizing that the selected search results are of poor quality, a corrective action that reformulates the issued search query is automatically invoked.
    • 提供计算机可读介质,计算机系统和计算方法,用于将搜索结果分类为质量好或品质差。 最初,选择搜索结果的一部分,例如最高排名的文档进行评估。 使用包括以下步骤的分类处理来确定每个所选择的搜索结果的质量水平:针对要被评估的所选择的搜索结果演示的目标特征; 评估所选择的特征以为每个所选择的搜索结果生成质量等级; 将分数与预定义的阈值进行比较; 并且基于比较,将所选择的搜索结果中的每一个分配给绝对测量。 当分数小于阈值时,绝对测量值表示质量差。 在识别出所选择的搜索结果质量差的情况下,自动调用重新发布的搜索查询的纠正措施。
    • 8. 发明申请
    • Classifying Results of Search Queries
    • 分类搜索查询结果
    • US20120158702A1
    • 2012-06-21
    • US12969140
    • 2010-12-15
    • Girish KumarSanaz AhariFarid HosseiniNazan KhanAhmad AbdulkaderAnkur GuptaGiridhar KumaranVijay Nair
    • Girish KumarSanaz AhariFarid HosseiniNazan KhanAhmad AbdulkaderAnkur GuptaGiridhar KumaranVijay Nair
    • G06F17/30
    • G06F17/30303
    • Computer-readable media, computer systems, and computing methods are provided for classifying search results as either of good quality or of poor quality. Initially, a portion of the search results, such as the highest ranked documents, are selected for evaluation. A level of quality for each of the selected search results is determined using a classification process that includes the following steps: targeting features demonstrated by the selected search results to be evaluated; evaluating the selected features to generate a level-of-quality score for each of the selected search results; comparing the score against a predefined threshold value; and, based on the comparison, assigning each of the selected search results an absolute measurement. The absolute measurement indicates poor quality when the score is less than the threshold value. Upon recognizing that the selected search results are of poor quality, automatically executing a corrective action that reformulates the issued search query.
    • 提供计算机可读介质,计算机系统和计算方法,用于将搜索结果分类为质量好或品质差。 最初,选择搜索结果的一部分,例如最高排名的文档进行评估。 使用包括以下步骤的分类处理来确定每个所选择的搜索结果的质量水平:针对要被评估的所选择的搜索结果演示的目标特征; 评估所选择的特征以为每个所选择的搜索结果生成质量等级; 将分数与预定义的阈值进行比较; 并且基于比较,将所选择的搜索结果中的每一个分配给绝对测量。 当分数小于阈值时,绝对测量值表示质量差。 在识别出所选择的搜索结果质量差的情况下,自动执行重新发布的搜索查询的纠正措施。
    • 10. 发明授权
    • Disambiguation of entities
    • 消除实体的歧义
    • US09418155B2
    • 2016-08-16
    • US12904300
    • 2010-10-14
    • Sarthak Deepak ShahTabreez GovaniFarid Hosseini
    • Sarthak Deepak ShahTabreez GovaniFarid Hosseini
    • G06F17/30
    • G06F17/30864G06F17/30672
    • Methods, systems, algorithms, and media are provided for disambiguating entities present in a received search query. Lists of categories from semi-structured data from external sites as well as internal sources are used to detect if ambiguity exists in an entity within the search query. Multiple senses or categories of the ambiguous entity are determined by ascertaining the primary intent of an entity extracted from a main term of a document. The probability of each sense is calculated by computing a total amount of traffic received for each of the senses of the ambiguous entity. The sense with the highest amount of computed traffic is the most probable determined sense.
    • 提供了方法,系统,算法和媒体,用于消除存在于接收到的搜索查询中的实体。 来自外部站点的半结构化数据以及内部源的类别列表用于检测搜索查询中的实体是否存在歧义。 通过确定从文档的主要术语提取的实体的主要意图来确定模糊实体的多个感官或类别。 通过计算对于模糊实体的每个感觉接收到的业务的总量来计算每个感觉的概率。 具有最高计算量的交通量的意义是最可能确定的意义。