公开(公告)号：US20150220547A1

公开(公告)日：2015-08-06

申请号：US14686555

申请日：2015-04-14

Applicant: GOOGLE INC.

Inventor： Jun Wu ,  Dekang Lin ,  Zhe Qian ,  Jie Zhou

IPC: G06F17/30

CPC classification number: G06F17/3097 ,  G06F17/30389 ,  G06F17/3053 ,  G06F17/3064

Abstract: Systems and methods to generate modified/refined user inputs based on the original user input, such as a search query, are disclosed. The method may be implemented for Roman-based and/or non-Roman based language such as Chinese. The method may generally include receiving an original user input and identifying core terms therein, determining potential alternative inputs by replacing core term(s) in the original input with another term according to a similarity matrix and/or substituting a word sequence in the original input with another word sequence according to an expansion/contraction table where one word sequence is a substring of the other, computing likelihood of each potential alternative input, and selecting most likely alternative inputs according to a predetermined criteria, e.g., likelihood of the alternative input being at least that of the original input. A cache containing pre-computed original user inputs and corresponding alternative inputs may be provided.

Abstract translation: 公开了基于原始用户输入（例如搜索查询）生成修改/改进的用户输入的系统和方法。 该方法可以用于基于罗马语和/或非罗马语言的中文。 该方法通常可以包括接收原始用户输入并识别其中的核心术语，通过根据相似度矩阵替换原始输入中的核心项与另一项来确定潜在替代输入和/或替换原始输入中的单词序列 根据扩展/收缩表的另一个字序列，其中一个单词序列是另一个单词序列是另一个单词的子串，计算每个潜在替代输入的可能性，并根据预定标准选择最可能的替代输入，例如替代输入的可能性为 至少是原来的输入。 可以提供包含预先计算的原始用户输入和相应的备选输入的缓存。

公开(公告)号：US09501784B2

公开(公告)日：2016-11-22

申请号：US14321758

申请日：2014-07-01

Applicant: Google Inc.

Inventor： Leslie Yeh Johnson ,  Sridhar Ramaswamy ,  Zhe Qian ,  Mark Rose

IPC: G06F17/30 ,  G06Q30/02

CPC classification number: G06Q30/0257 ,  G06F17/3087 ,  G06Q30/02 ,  G06Q30/0205 ,  G06Q30/0242 ,  G06Q30/0244 ,  G06Q30/0246 ,  G06Q30/0254 ,  G06Q30/0261

Abstract: The usefulness, and consequently the performance, of advertisements are improved by allowing businesses to better target their ads to a responsive audience. Location information is determined (or simply accepted) and used. For example, location information may be used in a relevancy determination of an ad. As another example, location information may be used in an attribute (e.g., position) arbitration. Such location information may be associated with price information, such as a maximum price bid. Such location information may be associated with ad performance information. Ad performance information may be tracked on the basis of location information. The content of an ad creative, and/or of a landing page may be selected and/or modified using location information. Tools, such as user interfaces, may be provided to allow a business to enter and/or modify location information. The location information used to target and/or score ads may be, include, or define an area.

Abstract translation: 通过允许企业更好地将广告定位到敏感的受众群体，改善了广告的有用性以及性能。 确定（或简单地接受）并使用位置信息。 例如，可以在广告的相关性确定中使用位置信息。 作为另一示例，可以在属性（例如，位置）仲裁中使用位置信息。 这样的位置信息可以与诸如最高价格出价的价格信息相关联。 这样的位置信息可以与广告演出信息相关联。 可以基于位置信息跟踪广告效果信息。 可以使用位置信息来选择和/或修改广告素材的内容和/或着陆页的内容。 可以提供诸如用户界面的工具以允许企业输入和/或修改位置信息。 用于定位和/或评分广告的位置信息可以是，包括或定义一个区域。

公开(公告)号：US09411906B2

公开(公告)日：2016-08-09

申请号：US14686555

申请日：2015-04-14

Applicant: GOOGLE INC.

Inventor： Jun Wu ,  Dekang Lin ,  Zhe Qian ,  Jie Zhou

IPC: G06F17/30 ,  G06F7/00

CPC classification number: G06F17/3097 ,  G06F17/30389 ,  G06F17/3053 ,  G06F17/3064

Abstract: Systems and methods to generate modified/refined user inputs based on the original user input, such as a search query, are disclosed. The method may be implemented for Roman-based and/or non-Roman based language such as Chinese. The method may generally include receiving an original user input and identifying core terms therein, determining potential alternative inputs by replacing core term(s) in the original input with another term according to a similarity matrix and/or substituting a word sequence in the original input with another word sequence according to an expansion/contraction table where one word sequence is a substring of the other, computing likelihood of each potential alternative input, and selecting most likely alternative inputs according to a predetermined criteria, e.g., likelihood of the alternative input being at least that of the original input. A cache containing pre-computed original user inputs and corresponding alternative inputs may be provided.