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公开(公告)号：US20090285492A1
公开(公告)日：2009-11-19
申请号：US12121259
申请日：2008-05-15
申请人： Arun Ramanujapuram , Malcolm Slaney
发明人： Arun Ramanujapuram , Malcolm Slaney
IPC分类号： G06K9/62
CPC分类号： G06F17/30253 , G06F17/30244 , G06F17/30247 , G06F17/30256 , G06F17/3028 , G06K9/4671 , G06K2209/01
摘要： Embodiments of the invention are directed to using image data and contextual data to determine information about a scene, based on one or more previously obtained images. Contextual data, such location of image capture, can be used to determine previously obtained images related to the contextual data and other location-related information, such as billboard locations. With even low resolution devices, such as cell phone, image attributes, such as a histogram or optically recognized characters, can be compared between the previously obtained images and the newly captured image. Attributes matching within a predefined threshold indicate matching images. Information on the content of matching previously obtained images can be provided back to a user who captured the new image. User profile data can refine the content information. The content information can also be used as search terms for additional searching or other processing.
摘要翻译： 本发明的实施例涉及使用图像数据和上下文数据来基于一个或多个先前获得的图像来确定关于场景的信息。 上下文数据，图像捕获的这种位置可用于确定先前获得的与上下文数据和其他位置相关信息（例如广告牌位置）相关的图像。 使用甚至低分辨率的设备，例如手机，诸如直方图或光学识别的字符的图像属性可以在先前获得的图像和新捕获的图像之间进行比较。 在预定阈值内匹配的属性表示匹配图像。 关于匹配先前获得的图像的内容的信息可以被提供给捕获新图像的用户。 用户简档数据可以细化内容信息。 内容信息也可以用作用于附加搜索或其他处理的搜索项。
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公开(公告)号：US08406531B2
公开(公告)日：2013-03-26
申请号：US12121259
申请日：2008-05-15
申请人： Arun Ramanujapuram , Malcolm Slaney
发明人： Arun Ramanujapuram , Malcolm Slaney
IPC分类号： G06K9/62
CPC分类号： G06F17/30253 , G06F17/30244 , G06F17/30247 , G06F17/30256 , G06F17/3028 , G06K9/4671 , G06K2209/01
摘要： Embodiments of the invention are directed to using image data and contextual data to determine information about a scene, based on one or more previously obtained images. Contextual data, such location of image capture, can be used to determine previously obtained images related to the contextual data and other location-related information, such as billboard locations. With even low resolution devices, such as cell phone, image attributes, such as a histogram or optically recognized characters, can be compared between the previously obtained images and the newly captured image. Attributes matching within a predefined threshold indicate matching images. Information on the content of matching previously obtained images can be provided back to a user who captured the new image. User profile data can refine the content information. The content information can also be used as search terms for additional searching or other processing.
摘要翻译： 本发明的实施例涉及使用图像数据和上下文数据来基于一个或多个先前获得的图像来确定关于场景的信息。 上下文数据，图像捕获的这种位置可用于确定先前获得的与上下文数据和其他位置相关信息（例如广告牌位置）相关的图像。 使用甚至低分辨率的设备，例如手机，诸如直方图或光学识别的字符的图像属性可以在先前获得的图像和新捕获的图像之间进行比较。 在预定阈值内匹配的属性表示匹配图像。 关于匹配先前获得的图像的内容的信息可以被提供给捕获新图像的用户。 用户简档数据可以细化内容信息。 内容信息也可以用作用于附加搜索或其他处理的搜索项。
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公开(公告)号：US20110276389A1
公开(公告)日：2011-11-10
申请号：US12774357
申请日：2010-05-05
CPC分类号： G06Q30/02 , G06Q30/0243 , G06Q30/0247 , G06Q30/0249 , G06Q30/0275 , G06Q30/08
摘要： Techniques are provided that can be used in advertising campaign management in connection with auction-based online advertising. A tool is provided, for use by advertisers or advertising campaign managers, for being provided with, in connection with specified parameters, an indication of a competitive bid and a non-competitive bid. The tool may also provide an actual, estimated, or projected bid, which may be associated with an advertising campaign or a portion thereof, for comparison with the competitive bid and the non-competitive bid. The tool may allow assessment of a competitive bid landscape and help allow determination of an optimal bid.
摘要翻译： 提供了可用于与基于拍卖的在线广告相关的广告活动管理中的技术。 提供了一个工具，供广告客户或广告活动经理使用，与指定参数相关，提供竞争性投标和非竞争性投标的指示。 该工具还可以提供可能与广告活动或其一部分相关联的实际，估计或预计出价，以与竞争性投标和非竞争性投标进行比较。 该工具可以允许评估竞争性竞标格局，并帮助确定最佳出价。
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4.发明申请SYSTEM AND METHOD FOR USING CONTEXTUAL SECTIONS OF WEB PAGE CONTENT FOR SERVING ADVERTISEMENTS IN ONLINE ADVERTISING 审中-公开使用网页内容的在线广告服务广告的相关部分的系统和方法公开(公告)号：US20090313127A1
公开(公告)日：2009-12-17
申请号：US12137477
申请日：2008-06-11
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0276
摘要： An improved system and method for using contextual sections of web page content for serving advertisements in online advertising is provided. A publisher may use a tool to identify sections of a web page that represent content to be used in contextual advertising. When rendered by a web browser, content from marked sections may be extracted from the web page and sent to an advertisement server for selectively matching advertisements for display to a user. Features may be identified from the content sections and used to select advertisements matching the extracted content of the web page. In particular, the features identified from the content sections may be matched with features designated by advertisers for advertisements. Web page placements may be allocated for advertisements matching the extracted content, and the advertisements may be served for display with the web page.
摘要翻译： 提供了一种改进的系统和方法，用于使用网页内容的上下文部分来提供在线广告中的广告。 出版商可以使用工具来识别网页中表示将在内容相关广告中使用的内容的部分。 当通过网络浏览器呈现时，可以从网页提取来自标记部分的内容，并将其发送到广告服务器，以选择性地匹配用于显示的用户的广告。 可以从内容部分识别特征，并且用于选择与提取的网页内容匹配的广告。 特别地，从内容部分识别的特征可以与广告商为广告指定的特征相匹配。 网页布局可以被分配给与提取的内容匹配的广告，并且广告可以被提供用于与网页一起显示。
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5.发明申请公开(公告)号：US20090089278A1
公开(公告)日：2009-04-02
申请号：US11937417
申请日：2007-11-08
IPC分类号： G06F7/06
CPC分类号： G06F16/951
摘要： Techniques are described for keyword extraction from URLs using regular expression patterns and keyword ranking. Tokenization of URLs also generates regular expressions of URLs from a website. The regular expressions are stored in the form of any type of indexing structure. When a new URL is received, the URL is examined to determine whether the URL is from a website that has previously been tokenized. If the URL is not from such a website, then the URL is tokenized using every delimiter and unit change to extract keywords. If the URL is from a website previously processed, the corresponding regular expression is used to extract keywords from the URL. The keywords extracted from the URLs are then ranked based on any ranking methodology for better relevance and performance.
摘要翻译： 描述了使用正则表达式模式和关键字排名从URL中提取关键字的技术。 URL的标示也会生成来自网站的URL的正则表达式。 正则表达式以任何类型的索引结构的形式存储。 当收到一个新的URL时，会检查该URL以确定URL是否来自之前已被标记的网站。 如果URL不是来自这样的网站，则使用每个分隔符和单位更改来标记URL以提取关键字。 如果URL来自之前处理的网站，则使用相应的正则表达式从URL中提取关键字。 然后从URL中提取的关键字基于任何排名方法进行排名，以获得更好的相关性和性能。
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公开(公告)号：US20090083266A1
公开(公告)日：2009-03-26
申请号：US11935622
申请日：2007-11-06
IPC分类号： G06F17/30
CPC分类号： G06F16/951 , G06F16/9566
摘要： Techniques are described for tokenizing a corpus of URLs of web documents. URLs are first tokenized based upon specified generic delimiters to form components. The components are then tokenized using website-specific delimiters. Website-specific delimiters are any non-alphanumerical symbol or a unit change that is specific to a particular website. Support for website-specific delimiters and the tokens resulting from website-specific delimiters are calculated. Support values for website-specific delimiters and the tokens above a specified threshold value are valid. Tokenization may also be performed by generating a graph of the corpus of URLs of web documents. Each node of the graph represents a token and each edge represents a delimiter of the URLs. The graph is traversed and the support of the edges are compared to a specified threshold value. If the support of an edge of a node is greater, then the token corresponding to the node is valid.
摘要翻译： 描述了用于对web文档的URL的语料库进行标记的技术。 URL首先根据指定的通用分隔符进行标记，以形成组件。 然后使用特定于网站的分隔符对组件进行标记化。 特定于网站的分隔符是特定于特定网站的任何非字母数字符号或单位更改。 计算支持特定于网站的分隔符和由特定于网站的分隔符产生的令牌。 网站特定的分隔符和指定阈值以上的令牌的支持值有效。 还可以通过生成web文档的URL的语料库的图形来执行令牌化。 图的每个节点都表示一个令牌，每个边都表示URL的分隔符。 遍历图形，并将边缘的支持与指定的阈值进行比较。 如果节点边缘的支持较大，那么与该节点对应的令牌是有效的。
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公开(公告)号：US07448022B1
公开(公告)日：2008-11-04
申请号：US10775383
申请日：2004-02-10
申请人： Prasad Ram , Arun Ramanujapuram , Robert Schuler
发明人： Prasad Ram , Arun Ramanujapuram , Robert Schuler
IPC分类号： G06F9/45
CPC分类号： G06F8/00 , G06F9/45504
摘要： A resource catalog system comprises a catalog organized as a set of metadata structures representing distributed system resources, language for resource invocation, and a query interpreter and optimizer. Query optimization includes dynamic functional composition by modeling resources according constraints and determining constraint-satisfaction to compose an execution plan. Query optimization may also include dynamic selection and scheduling of resources by combining a resource scheduling with adaptive feedback. The resources may comprise distributed software components, application programs, shell scripts, executables, and services. The resource catalog system accepts queries for operations on distributed resources through a declarative language or a procedural language. A query optimizer derives catalog operators from a query or elsewhere and accesses the system resources according to interpretation of the catalog operators. The optimizer also retrieves information concerning the location and/or physical interfaces of the system resources to fulfill the commands specified by the catalog operators.
摘要翻译： 资源目录系统包括组织为表示分布式系统资源的元数据结构集合，资源调用语言以及查询解释器和优化器的目录。 查询优化包括通过根据约束建模资源的动态功能组合，并确定约束满足来组成执行计划。 查询优化还可以包括资源调度与自适应反馈的动态选择和资源调度。 资源可以包括分布式软件组件，应用程序，shell脚本，可执行程序和服务。 资源目录系统通过声明语言或程序语言接受对分布式资源的操作的查询。 查询优化器从查询或其他地方派生目录运算符，并根据目录操作符的解释访问系统资源。 优化器还检索有关系统资源的位置和/或物理接口的信息，以满足目录操作员指定的命令。
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公开(公告)号：US20080010291A1
公开(公告)日：2008-01-10
申请号：US11481734
申请日：2006-07-05
IPC分类号： G06F17/30
CPC分类号： G06F17/3071 , G06F17/30864 , G06K9/6219 , G06K9/6224
摘要： Web page clustering techniques described herein are URL Clustering and Page Clustering, whereby clustering algorithms cluster together pages that are structurally similar. Regarding URL clustering, because similarly structured pages have similar patterns in their URLs, grouping similar URL patterns will group structurally similar pages. Embodiments of URL clustering may involve: (a) URL normalization and (b) URL variation computation. Regarding page clustering, page feature-based techniques further cluster any given set of homogenous clusters, reducing the number of clusters based on the underlying page code. Embodiments of page clustering may reduce the number of clusters based on the tag probabilities and the tag sequence, utilizing an Approximate Nearest Neighborhood (ANN) graph along with evaluation of intra-cluster and inter-cluster compactness.
摘要翻译： 本文描述的网页聚类技术是URL聚类和页面聚类，其中聚类算法将结构上类似的页面聚类在一起。 关于URL聚类，因为类似结构化的页面在其URL中具有相似的模式，所以对类似的URL模式进行分组会将结构上类似的页面分组。 URL聚类的实施例可以包括：（a）URL归一化和（b）URL变化计算。 关于页面聚类，基于页面特征的技术进一步聚集任何给定的同质聚类集合，从而减少基于底层页面代码的聚类数量。 基于标签概率和标签序列，页面聚类的实施例可以使用近似最近邻域（ANN）图以及群内和集群内紧密度的评估来减少簇的数量。
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公开(公告)号：US10255608B2
公开(公告)日：2019-04-09
申请号：US12774357
申请日：2010-05-05
摘要： Techniques are provided that can be used in advertising campaign management in connection with auction-based online advertising. A tool is provided, for use by advertisers or advertising campaign managers, for being provided with, in connection with specified parameters, an indication of a competitive bid and a non-competitive bid. The tool may also provide an actual, estimated, or projected bid, which may be associated with an advertising campaign or a portion thereof, for comparison with the competitive bid and the non-competitive bid. The tool may allow assessment of a competitive bid landscape and help allow determination of an optimal bid.
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公开(公告)号：US07680858B2
公开(公告)日：2010-03-16
申请号：US11481734
申请日：2006-07-05
IPC分类号： G06F17/30
CPC分类号： G06F17/3071 , G06F17/30864 , G06K9/6219 , G06K9/6224
摘要： Web page clustering techniques described herein are URL Clustering and Page Clustering, whereby clustering algorithms cluster together pages that are structurally similar. Regarding URL clustering, because similarly structured pages have similar patterns in their URLs, grouping similar URL patterns will group structurally similar pages. Embodiments of URL clustering may involve: (a) URL normalization and (b) URL variation computation. Regarding page clustering, page feature-based techniques further cluster any given set of homogenous clusters, reducing the number of clusters based on the underlying page code. Embodiments of page clustering may reduce the number of clusters based on the tag probabilities and the tag sequence, utilizing an Approximate Nearest Neighborhood (ANN) graph along with evaluation of intra-cluster and inter-cluster compactness.
摘要翻译： 本文描述的网页聚类技术是URL聚类和页面聚类，其中聚类算法将结构上类似的页面聚类在一起。 关于URL聚类，因为类似结构化的页面在其URL中具有相似的模式，所以对类似的URL模式进行分组会将结构上类似的页面分组。 URL聚类的实施例可以包括：（a）URL归一化和（b）URL变化计算。 关于页面聚类，基于页面特征的技术进一步聚集任何给定的同质聚类集合，从而减少基于底层页面代码的聚类数量。 基于标签概率和标签序列，页面聚类的实施例可以使用近似最近邻域（ANN）图以及群内和集群内紧密度的评估来减少簇的数量。
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