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公开(公告)号：US08401899B1
公开(公告)日：2013-03-19
申请号：US12484846
申请日：2009-06-15
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0254
摘要： In one embodiment, a method includes accessing online advertising data including metric values for one or more online advertising spaces; identifying pairs of the user variables; for each of the pairs, calculating a statistical score for each of the online advertising metrics and calculating a weighted score based on all the statistical scores for the pair; selecting one of the pairs based on its weighted score; and performing a merge test on the selected pair; and merging the user variables in the selected one of the pairs with each other if the selected one of the pairs passes the merge test.
摘要翻译： 在一个实施例中，一种方法包括访问在线广告数据，包括一个或多个在线广告空间的度量值; 识别用户变量对; 对于每个对，计算每个在线广告度量的统计学分数，并且基于所述对的所有统计学分数来计算加权分数; 根据加权分数选择一对; 并对所选择的对执行合并测试; 并且如果所选择的一个对中的用户变量经过合并测试，则将所选择的一对中的用户变量合并。
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公开(公告)号：US08359238B1
公开(公告)日：2013-01-22
申请号：US12484892
申请日：2009-06-15
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02
摘要： In one embodiment, a method includes accessing metric values for one or more online advertising spaces for placing one or more online advertisements; generating a first user variable subgroup and a second user variable subgroup from a user variable group; deriving first metric values for the first user variable subgroup; deriving second metric values for the second user variable subgroup; for each of the online advertising metrics, using a particular statistical model to calculate a statistical score based on the first and second metric values with respect to the online advertising metric and the first and second user variable subgroups; performing a split test on the first user variable subgroup and the second user variable subgroup; and splitting the user variable group into two separate user variable groups if the first and second variable subgroups pass the split test.
摘要翻译： 在一个实施例中，一种方法包括访问用于放置一个或多个在线广告的一个或多个在线广告空间的度量值; 从用户变量组生成第一用户变量子组和第二用户变量子组; 导出第一用户变量子组的第一度量值; 导出第二用户变量子组的第二度量值; 对于每个在线广告度量，使用特定统计模型基于关于在线广告度量的第一和第二度量值以及第一和第二用户可变子组来计算统计得分; 对所述第一用户变量子组和所述第二用户变量子组执行分割测试; 如果第一个和第二个可变子组通过拆分测试，则将用户变量组拆分成两个单独的用户变量组。
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公开(公告)号：US08311997B1
公开(公告)日：2012-11-13
申请号：US13342776
申请日：2012-01-03
CPC分类号： G06F17/30707 , G06Q30/02 , Y10S707/99933
摘要： In particular embodiments, annotating each keyword of a plurality of keywords with one or more labels of a plurality of labels, comprising: for each label, computing a score for the keyword document corresponding to the keyword and the label using an annotation model; and annotating the keyword with a specific label where the keyword document corresponding to the keyword and the specific label have the highest or the lowest score. Constructing a classifier based on a plurality of training keywords. For each keyword of the plurality of keywords, for each label annotating the keyword, calculating a second index-wise product between a word count vector of the keyword document corresponding to the keyword and a word count vector of the label document corresponding to the label; and predicting whether the label annotating the keyword is correct using the classifier with the second index-wise product as an input to the classifier.
摘要翻译： 在特定实施例中，使用多个标签的一个或多个标签来注释多个关键字的每个关键字，包括：对于每个标签，使用注释模型计算与关键字对应的关键字文档的分数和标签; 并且用关键词和特定标签对应的关键字文档具有最高或最低分数的特定标签来注释该关键字。 基于多个训练关键词构建分类器。 对于所述多个关键词中的每个关键词，对于每个标注所述关键字的标签，计算与所述关键字对应的关键词文档的字数向量与所述标签对应的所述标签文档的字数向量之间的第二索引乘积; 并且使用具有第二索引方式的产品的分类器作为分类器的输入来预测标注关键字的标签是否正确。
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公开(公告)号：US08306962B1
公开(公告)日：2012-11-06
申请号：US13342803
申请日：2012-01-03
CPC分类号： G06F17/30707 , G06Q30/02 , Y10S707/99933
摘要： In particular embodiments, constructing a classifier based on a plurality of training keywords. Each training keyword comprises one or more words and has a corresponding training keyword document. Constructing the classifier comprises: for each training keyword of the plurality of training keywords, annotating the training keyword with one or more labels of a plurality of labels, each label having a corresponding label document; and for each label annotating the training keyword, determining a correctness of the label; calculating a first index-wise product between a word count vector of the training keyword document corresponding to the training keyword and a word count vector of the label document corresponding to the label; and forming a pair of the correctness and the first index-wise product; and training the classifier using one or more pairs of the correctness and the first index-wise product.
摘要翻译： 在特定实施例中，基于多个训练关键词构建分类器。 每个训练关键字包括一个或多个单词并且具有相应的训练关键字文档。 构建分类器包括：对于多个训练关键词的每个训练关键词，用多个标签的一个或多个标签来注释训练关键词，每个标签具有对应的标签文档; 并且对于标注训练关键字的每个标签，确定标签的正确性; 计算对应于训练关键词的训练关键词文档的单词计数向量与对应于该标签的标签文档的单词向量之间的第一索引乘积; 并形成一对正确性和第一个指数乘积; 并使用一对或多对正确性和第一指数乘积来训练分类器。
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公开(公告)号：US08103650B1
公开(公告)日：2012-01-24
申请号：US12493997
申请日：2009-06-29
CPC分类号： G06F17/30707 , G06Q30/02 , Y10S707/99933
摘要： In particular embodiments, advertising groups may be formed based on keywords. Access a plurality of keywords, each keyword comprising one or more words and describing one or more characteristics or features of particular advertising subject matter. Annotate each of the keywords with one or more labels selected from a plurality of labels, each label comprising one or more words and describing one or more aspects of or one or more categories or concepts represented by the keyword. Group the keywords into one or more keyword groups based on similarities between the labels of the keywords, each keyword group comprising one or more of the keywords. Form one or more advertising groups from the keyword groups, comprising from each of the keyword groups, form one or more of the advertising groups, each of the advertising groups comprising one or more of the keywords in the keyword group.
摘要翻译： 在具体实施例中，可以基于关键字形成广告组。 访问多个关键字，每个关键字包括一个或多个单词并描述特定广告主题的一个或多个特征或特征。 使用从多个标签中选择的一个或多个标签来注释每个关键字，每个标签包括一个或多个单词并且描述由关键字表示的一个或多个方面或一个或多个类别或概念。 基于关键字的标签之间的相似性，每个关键字组包括一个或多个关键字，将关键字分组成一个或多个关键字组。 从关键字组中形成来自每个关键字组的一个或多个广告组，形成一个或多个广告组，每个广告组包括关键字组中的一个或多个关键字。
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