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公开(公告)号：US08572074B2
公开(公告)日：2013-10-29
申请号：US13454637
申请日：2012-04-24
申请人： Sanaz Ahari , Xiaoxin Yin , Farid Hosseini , Sarthak Shah , Adam Troy , Dan Fain , Brian MacDonald , Nikhil Dandekar , Michael Cameron
发明人： Sanaz Ahari , Xiaoxin Yin , Farid Hosseini , Sarthak Shah , Adam Troy , Dan Fain , Brian MacDonald , Nikhil Dandekar , Michael Cameron
CPC分类号： G06F17/30864 , G06F7/00 , G06F17/30 , G06F17/30702 , G06F17/30867
摘要： Computer-readable media and computerized methods for automatically organizing search results according to task groups are provided. The methods involve aggregating a gallery of entities (e.g., search queries that share a common categorization) into a query class and assigning a dictionary (e.g., list of terms that are drawn from various sources) to the query class. The task groups are identified from the list of terms within the dictionary. The process of identification includes analyzing patterns of user search behavior to select terms from the list of terms, which reflect popular user search intents, and ranking the selected terms based on predetermined parameters to produce an ordering. Based on the ordering, a set of the selected terms that are highest ranked are declared the task groups. The task groups are employed to arrange the search results on a UI display and to provide a consistent and intuitive format for refining a search.
摘要翻译： 提供了根据任务组自动组织搜索结果的计算机可读介质和计算机化方法。 这些方法包括将实体库（例如，共享公共分类的搜索查询）聚合到查询类中并将查询类别的字典（例如，从各种来源绘制的术语列表）分配。 任务组从字典中的术语列表中识别。 识别过程包括分析用户搜索行为的模式以从反映流行用户搜索意图的术语列表中选择术语，并且基于预定参数对所选项进行排序以产生排序。 根据排序，将排列最高的选定术语集合声明为任务组。 任务组用于在UI显示器上排列搜索结果，并提供一致和直观的格式来完善搜索。
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公开(公告)号：US20120209835A1
公开(公告)日：2012-08-16
申请号：US13454637
申请日：2012-04-24
申请人： Sanaz Ahari , Xiaoxin Yin , Farid Hosseini , Sarthak Shah , Adam Troy , Dan Fain , Brian MacDonald , Nikhil Dandekar , Michael Cameron
发明人： Sanaz Ahari , Xiaoxin Yin , Farid Hosseini , Sarthak Shah , Adam Troy , Dan Fain , Brian MacDonald , Nikhil Dandekar , Michael Cameron
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F7/00 , G06F17/30 , G06F17/30702 , G06F17/30867
摘要： Computer-readable media and computerized methods for automatically organizing search results according to task groups are provided. The methods involve aggregating a gallery of entities (e.g., search queries that share a common categorization) into a query class and assigning a dictionary (e.g., list of terms that are drawn from various sources) to the query class. The task groups are identified from the list of terms within the dictionary. The process of identification includes analyzing patterns of user search behavior to select terms from the list of terms, which reflect popular user search intents, and ranking the selected terms based on predetermined parameters to produce an ordering. Based on the ordering, a set of the selected terms that are highest ranked are declared the task groups. The task groups are employed to arrange the search results on a UI display and to provide a consistent and intuitive format for refining a search.
摘要翻译： 提供了根据任务组自动组织搜索结果的计算机可读介质和计算机化方法。 这些方法包括将实体库（例如，共享公共分类的搜索查询）聚合到查询类中并将查询类别的字典（例如，从各种来源绘制的术语列表）分配。 任务组从字典中的术语列表中识别。 识别过程包括分析用户搜索行为的模式以从反映流行用户搜索意图的术语列表中选择术语，并且基于预定参数对所选项进行排序以产生排序。 根据排序，将排列最高的选定术语集合声明为任务组。 任务组用于在UI显示器上排列搜索结果，并提供一致和直观的格式来完善搜索。
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公开(公告)号：US20100299343A1
公开(公告)日：2010-11-25
申请号：US12471116
申请日：2009-05-22
申请人： Sanaz Ahari , Xiaoxin Yin , Farid Hosseini , Sarthak Shah , Adam Troy , Daniel C. Fain , Brian MacDonald , Nikhil Dandekar , Michael Cameron
发明人： Sanaz Ahari , Xiaoxin Yin , Farid Hosseini , Sarthak Shah , Adam Troy , Daniel C. Fain , Brian MacDonald , Nikhil Dandekar , Michael Cameron
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F7/00 , G06F17/30 , G06F17/30702 , G06F17/30867
摘要： Computer-readable media and computerized methods for automatically organizing search results according to task groups are provided. The methods involve aggregating a gallery of entities (e.g., search queries that share a common categorization) into a query class and assigning a dictionary (e.g., list of terms that are drawn from various sources) to the query class. The task groups are identified from the list of terms within the dictionary. The process of identification includes analyzing patterns of user search behavior to select terms from the list of terms, which reflect popular user search intents, and ranking the selected terms based on predetermined parameters to produce an ordering. Based on the ordering, a set of the selected terms that are highest ranked are declared the task groups. The task groups are employed to arrange the search results on a UI display and to provide a consistent and intuitive format for refining a search.
摘要翻译： 提供了根据任务组自动组织搜索结果的计算机可读介质和计算机化方法。 这些方法包括将实体库（例如，共享公共分类的搜索查询）聚合到查询类中并将查询类别的字典（例如，从各种来源绘制的术语列表）分配。 任务组从字典中的术语列表中识别。 识别过程包括分析用户搜索行为的模式以从反映流行用户搜索意图的术语列表中选择术语，并且基于预定参数对所选项进行排序以产生排序。 根据排序，将排列最高的选定术语集合声明为任务组。 任务组被用于在UI显示器上排列搜索结果，并提供一致和直观的格式来完善搜索。
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公开(公告)号：US08190601B2
公开(公告)日：2012-05-29
申请号：US12471116
申请日：2009-05-22
申请人： Sanaz Ahari , Xiaoxin Yin , Farid Hosseini , Sarthak Shah , Adam Troy , Daniel C. Fain , Brian MacDonald , Nikhil Dandekar , Michael Cameron
发明人： Sanaz Ahari , Xiaoxin Yin , Farid Hosseini , Sarthak Shah , Adam Troy , Daniel C. Fain , Brian MacDonald , Nikhil Dandekar , Michael Cameron
CPC分类号： G06F17/30864 , G06F7/00 , G06F17/30 , G06F17/30702 , G06F17/30867
摘要： Computer-readable media and computerized methods for automatically organizing search results according to task groups are provided. The methods involve aggregating a gallery of entities (e.g., search queries that share a common categorization) into a query class and assigning a dictionary (e.g., list of terms that are drawn from various sources) to the query class. The task groups are identified from the list of terms within the dictionary. The process of identification includes analyzing patterns of user search behavior to select terms from the list of terms, which reflect popular user search intents, and ranking the selected terms based on predetermined parameters to produce an ordering. Based on the ordering, a set of the selected terms that are highest ranked are declared the task groups. The task groups are employed to arrange the search results on a UI display and to provide a consistent and intuitive format for refining a search.
摘要翻译： 提供了根据任务组自动组织搜索结果的计算机可读介质和计算机化方法。 这些方法包括将实体库（例如，共享公共分类的搜索查询）聚合到查询类中并将查询类别的字典（例如，从各种来源绘制的术语列表）分配。 任务组从字典中的术语列表中识别。 识别过程包括分析用户搜索行为的模式以从反映流行用户搜索意图的术语列表中选择术语，并且基于预定参数对所选项进行排序以产生排序。 根据排序，将排列最高的选定术语集合声明为任务组。 任务组用于在UI显示器上排列搜索结果，并提供一致和直观的格式来完善搜索。
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公开(公告)号：US09251185B2
公开(公告)日：2016-02-02
申请号：US12969140
申请日：2010-12-15
申请人： Girish Kumar , Sanaz Ahari , Farid Hosseini , Nazan Khan , Ahmad Abdulkader , Ankur Gupta , Giridhar Kumaran , Vijay Nair
发明人： Girish Kumar , Sanaz Ahari , Farid Hosseini , Nazan Khan , Ahmad Abdulkader , Ankur Gupta , Giridhar Kumaran , Vijay Nair
CPC分类号： G06F17/30303
摘要： 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.
摘要翻译： 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。
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公开(公告)号：US08719246B2
公开(公告)日：2014-05-06
申请号：US12824879
申请日：2010-06-28
申请人： Robert Williams , Nitin Agrawal , Farid Hosseini , Sanaz Ahari , Maxim Stepin , Jason Bolla , Bo-June Hsu
发明人： Robert Williams , Nitin Agrawal , Farid Hosseini , Sanaz Ahari , Maxim Stepin , Jason Bolla , Bo-June Hsu
CPC分类号： G06F17/30864 , G06F17/3064
摘要： The present invention is directed to presenting a suggested search query. Responsive to receiving a user-devised search parameter, a suggested search query is identified. The user-devised search parameter might have been previously received by a search system, or alternatively, might be a unique query that has not been previously received. A suggested search query might be generated using various techniques, such as by applying an n-gram language model. A classification of the suggested search query is determined, and the suggested search query is presented together with a visual indicator, which signifies the classification.
摘要翻译： 本发明旨在呈现建议的搜索查询。 响应于接收用户设计的搜索参数，识别出建议的搜索查询。 用户设计的搜索参数可能先前已经被搜索系统接收，或者可以是先前未被接收到的唯一查询。 可以使用各种技术来生成建议的搜索查询，例如通过应用n-gram语言模型。 确定建议的搜索查询的分类，并将建议的搜索查询与视觉指示符一起呈现，这意味着分类。
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公开(公告)号：US20120158765A1
公开(公告)日：2012-06-21
申请号：US12969218
申请日：2010-12-15
申请人： Girish Kumar , Sanaz Ahari , Farid Hosseini , Mingrui Wu , Ahmad Abdulkader , Ankur Gupta , Giridhar Kumaran , Abdigani M. Diriye
发明人： Girish Kumar , Sanaz Ahari , Farid Hosseini , Mingrui Wu , Ahmad Abdulkader , Ankur Gupta , Giridhar Kumaran , Abdigani M. Diriye
IPC分类号： G06F17/30
CPC分类号： G06F16/3325
摘要： 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.
摘要翻译： 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。
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公开(公告)号：US20120158702A1
公开(公告)日：2012-06-21
申请号：US12969140
申请日：2010-12-15
申请人： Girish Kumar , Sanaz Ahari , Farid Hosseini , Nazan Khan , Ahmad Abdulkader , Ankur Gupta , Giridhar Kumaran , Vijay Nair
发明人： Girish Kumar , Sanaz Ahari , Farid Hosseini , Nazan Khan , Ahmad Abdulkader , Ankur Gupta , Giridhar Kumaran , Vijay Nair
IPC分类号： G06F17/30
CPC分类号： G06F17/30303
摘要： 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.
摘要翻译： 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。
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公开(公告)号：US20110320470A1
公开(公告)日：2011-12-29
申请号：US12824879
申请日：2010-06-28
申请人： ROBERT WILLIAMS , Nitin Agrawal , Farid Hosseini , Sanaz Ahari , Maxim Stepin , Jason Bolla , Bo-June Hsu
发明人： ROBERT WILLIAMS , Nitin Agrawal , Farid Hosseini , Sanaz Ahari , Maxim Stepin , Jason Bolla , Bo-June Hsu
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/3064
摘要： The present invention is directed to presenting a suggested search query. Responsive to receiving a user-devised search parameter, a suggested search query is identified. The user-devised search parameter might have been previously received by a search system, or alternatively, might be a unique query that has not been previously received. A suggested search query might be generated using various techniques, such as by applying an n-gram language model. A classification of the suggested search query is determined, and the suggested search query is presented together with a visual indicator, which signifies the classification.
摘要翻译： 本发明旨在呈现建议的搜索查询。 响应于接收用户设计的搜索参数，识别出建议的搜索查询。 用户设计的搜索参数可能先前已经被搜索系统接收，或者可以是先前未被接收到的唯一查询。 可以使用各种技术来生成建议的搜索查询，例如通过应用n-gram语言模型。 确定建议的搜索查询的分类，并将建议的搜索查询与视觉指示符一起呈现，这意味着分类。
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公开(公告)号：US09418155B2
公开(公告)日：2016-08-16
申请号：US12904300
申请日：2010-10-14
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30672
摘要： 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.
摘要翻译： 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。
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