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公开(公告)号：US08452832B2
公开(公告)日：2013-05-28
申请号：US11495269
申请日：2006-07-27
CPC分类号： G06F17/30702 , G06F17/30864 , G06F17/30867 , G06Q30/02 , H04L67/02 , H04L67/20 , H04L67/306
摘要： An improved system and method for web destination profiling for online population-targeted advertising is provided. A web destination profiler may be provided for generating web destination profiles. Traffic may be analyzed at a particular web destination in order to understand the population visiting the web destination. The analysis of user traffic, including differentiated clickstream data, may be applied for determining known characteristics of a web destination profile. Moreover, unknown characteristics of a web destination profile may be determined using a variety of techniques including inferring characteristics by modeling traffic flow through other web destinations, estimating characteristics from other web destination profiles by predicting traffic flow through other web destinations, propagating characteristics to a web destination profile by smoothing a joint distribution of characteristics of other web destination profiles, and so forth. Web destination profiles may be used by applications such as an online application for population-targeted advertising.
摘要翻译： 提供了一种用于在线面向对象广告的Web目标分析的改进的系统和方法。 可以提供web目的地分析器来生成web目的地简档。 可以在特定的网络目的地分析流量，以了解访问网络目的地的人口。 用户流量的分析（包括差分点击流数据）可以被应用于确定web目的地简档的已知特征。 此外，可以使用各种技术来确定web目的地简档的未知特性，包括通过建模通过其他web目的地的业务流来推断特征，通过预测通过其他web目的地的业务流来估计来自其他web目的地简档的特征，将特征传播到web 通过平滑其他web目的地简档的特征的联合分布等来实现目的地简档。 Web目标配置文件可能被诸如在线应用程序的应用程序用于针对人口的广告。
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公开(公告)号：US20080028067A1
公开(公告)日：2008-01-31
申请号：US11495932
申请日：2006-07-27
IPC分类号： G06F15/173
CPC分类号： G06F17/30864 , G06F17/30702 , G06F17/30867 , G06Q30/02 , H04L41/12 , H04L67/02 , H04L67/20 , H04L67/22 , H04L67/306
摘要： An improved system and method for web destination profiling for online population-targeted advertising is provided. A web destination profiler may be provided for generating web destination profiles. Traffic may be analyzed at a particular web destination in order to understand the population visiting the web destination. The analysis of user traffic, including differentiated clickstream data, may be applied for determining known characteristics of a web destination profile. Moreover, unknown characteristics of a web destination profile may be determined using a variety of techniques including inferring characteristics by modeling traffic flow through other web destinations, estimating characteristics from other web destination profiles by predicting traffic flow through other web destinations, propagating characteristics to a web destination profile by smoothing a joint distribution of characteristics of other web destination profiles, and so forth. Web destination profiles may be used by applications such as an online application for population-targeted advertising.
摘要翻译： 提供了一种用于在线面向对象广告的Web目标分析的改进的系统和方法。 可以提供web目的地分析器来生成web目的地简档。 可以在特定的网络目的地分析流量，以了解访问网络目的地的人口。 用户流量的分析（包括差分点击流数据）可以被应用于确定web目的地简档的已知特征。 此外，可以使用各种技术来确定web目的地简档的未知特性，包括通过建模通过其他web目的地的业务流来推断特征，通过预测通过其他web目的地的业务流来估计来自其他web目的地简档的特征，将特征传播到web 通过平滑其他web目的地简档的特征的联合分布等来实现目的地简档。 Web目标配置文件可能被诸如在线应用程序的应用程序用于针对人口的广告。
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公开(公告)号：US08676961B2
公开(公告)日：2014-03-18
申请号：US11495932
申请日：2006-07-27
IPC分类号： G06F15/16
CPC分类号： G06F17/30864 , G06F17/30702 , G06F17/30867 , G06Q30/02 , H04L41/12 , H04L67/02 , H04L67/20 , H04L67/22 , H04L67/306
摘要： An improved system and method for web destination profiling for online population-targeted advertising is provided. A web destination profiler may be provided for generating web destination profiles. Traffic may be analyzed at a particular web destination in order to understand the population visiting the web destination. The analysis of user traffic, including differentiated clickstream data, may be applied for determining known characteristics of a web destination profile. Moreover, unknown characteristics of a web destination profile may be determined using a variety of techniques including inferring characteristics by modeling traffic flow through other web destinations, estimating characteristics from other web destination profiles by predicting traffic flow through other web destinations, propagating characteristics to a web destination profile by smoothing a joint distribution of characteristics of other web destination profiles, and so forth. Web destination profiles may be used by applications such as an online application for population-targeted advertising.
摘要翻译： 提供了一种用于在线面向对象广告的Web目标分析的改进的系统和方法。 可以提供web目的地分析器来生成web目的地简档。 可以在特定的网络目的地分析流量，以了解访问网络目的地的人口。 用户流量的分析（包括差分点击流数据）可以被应用于确定web目的地简档的已知特征。 此外，可以使用各种技术来确定web目的地简档的未知特性，包括通过建模通过其他web目的地的业务流来推断特征，通过预测通过其他web目的地的业务流来估计来自其他web目的地简档的特征，将特征传播到web 通过平滑其他web目的地简档的特征的联合分布等来实现目的地简档。 Web目标配置文件可能被诸如在线应用程序的应用程序用于针对人口的广告。
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公开(公告)号：US20080028066A1
公开(公告)日：2008-01-31
申请号：US11495269
申请日：2006-07-27
IPC分类号： G06F15/173
CPC分类号： G06F17/30702 , G06F17/30864 , G06F17/30867 , G06Q30/02 , H04L67/02 , H04L67/20 , H04L67/306
摘要： An improved system and method for web destination profiling for online population-targeted advertising is provided. A web destination profiler may be provided for generating web destination profiles. Traffic may be analyzed at a particular web destination in order to understand the population visiting the web destination. The analysis of user traffic, including differentiated clickstream data, may be applied for determining known characteristics of a web destination profile. Moreover, unknown characteristics of a web destination profile may be determined using a variety of techniques including inferring characteristics by modeling traffic flow through other web destinations, estimating characteristics from other web destination profiles by predicting traffic flow through other web destinations, propagating characteristics to a web destination profile by smoothing a joint distribution of characteristics of other web destination profiles, and so forth. Web destination profiles may be used by applications such as an online application for population-targeted advertising.
摘要翻译： 提供了一种用于在线面向对象广告的Web目标分析的改进的系统和方法。 可以提供web目的地分析器来生成web目的地简档。 可以在特定的网络目的地分析流量，以了解访问网络目的地的人口。 用户流量的分析（包括差分点击流数据）可以被应用于确定web目的地简档的已知特征。 此外，可以使用各种技术来确定web目的地简档的未知特性，包括通过建模通过其他web目的地的业务流来推断特征，通过预测通过其他web目的地的业务流来估计来自其他web目的地简档的特征，将特征传播到web 通过平滑其他web目的地简档的特征的联合分布等来实现目的地简档。 Web目标配置文件可能被诸如在线应用程序的应用程序用于针对人口的广告。
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公开(公告)号：US07596587B2
公开(公告)日：2009-09-29
申请号：US11489885
申请日：2006-07-19
IPC分类号： G06F17/30
CPC分类号： G06F17/30221 , G06F3/0605 , G06F3/0631 , G06F3/0685 , Y10S707/99931 , Y10S707/99955
摘要： Methods and apparatus are described for storing a plurality of objects in a plurality of storage options. An importance index is generated for each of the plurality of objects with reference to importance data associated with each object. At least a portion of the importance data represents relevance of the associated object relative to a population of users interacting with the plurality of objects. Each of the objects is stored in a selected one of the storage options with reference to the corresponding importance index and a hierarchy of the storage options. The hierarchy of storage options represents at least partial ordering of the storage options with reference to economic costs and efficiency of retrieval.
摘要翻译： 描述了用于将多个对象存储在多个存储选项中的方法和装置。 参考与每个对象相关联的重要性数据，为多个对象中的每一个生成重要性索引。 重要性数据的至少一部分表示相关对象相对于与多个对象交互的用户群体的相关性。 参考相应的重要性索引和存储选项的层次结构，将每个对象存储在选定的一个存储选项中。 参考经济成本和检索效率，存储选项的层次结构至少代表存储选项的部分排序。
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公开(公告)号：US20080021859A1
公开(公告)日：2008-01-24
申请号：US11489885
申请日：2006-07-19
IPC分类号： G06F17/30
CPC分类号： G06F17/30221 , G06F3/0605 , G06F3/0631 , G06F3/0685 , Y10S707/99931 , Y10S707/99955
摘要： Methods and apparatus are described for storing a plurality of objects in a plurality of storage options. An importance index is generated for each of the plurality of objects with reference to importance data associated with each object. At least a portion of the importance data represents relevance of the associated object relative to a population of users interacting with the plurality of objects. Each of the objects is stored in a selected one of the storage options with reference to the corresponding importance index and a hierarchy of the storage options. The hierarchy of storage options represents at least partial ordering of the storage options with reference to economic costs and efficiency of retrieval.
摘要翻译： 描述了用于将多个对象存储在多个存储选项中的方法和装置。 参考与每个对象相关联的重要性数据，为多个对象中的每一个生成重要性索引。 重要性数据的至少一部分表示相关对象相对于与多个对象交互的用户群体的相关性。 参考相应的重要性索引和存储选项的层次结构，将每个对象存储在选定的一个存储选项中。 参考经济成本和检索效率，存储选项的层次结构至少代表存储选项的部分排序。
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公开(公告)号：US07958363B2
公开(公告)日：2011-06-07
申请号：US11924945
申请日：2007-10-26
CPC分类号： H04L63/12 , H04L63/0442
摘要： A method and system are provided for a web browser toolbar signature. In one example, the method includes receiving a submission of user content from a source webpage, receiving a producer identity of a producer who submitted the user content, receiving identifying information about the destination webpage, coding signed content using the user content and the producer identity, wherein the signed content includes a signature, and submitting the signed content to a server hosting the destination webpage.
摘要翻译： 提供了一种用于web浏览器工具条签名的方法和系统。 在一个示例中，该方法包括从源网页接收用户内容的提交，接收提交用户内容的制作者的制作者标识，接收关于目的地网页的标识信息，使用用户内容和生成者身份对签名的内容进行编码 其中，所签署的内容包括签名，并将签名的内容提交给托管目的地网页的服务器。
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8.发明授权System and method using hierachical clustering for evolutionary clustering of sequential data sets 有权使用层次聚类的序列数据集的进化聚类的系统和方法公开(公告)号：US07734629B2
公开(公告)日：2010-06-08
申请号：US11414442
申请日：2006-04-29
IPC分类号： G06F7/00
CPC分类号： G06F17/30705 , G06K9/6218
摘要： An improved system and method for evolutionary clustering of sequential data sets is provided. A snapshot cost may be determined for representing the data set for a particular clustering method used and may determine the cost of clustering the data set independently of a series of clusterings of the data sets in the sequence. A history cost may also be determined for measuring the distance between corresponding clusters of the data set and the previous data set in the sequence of data sets to determine a cost of clustering the data set as part of a series of clusterings of the data sets in the sequence. An overall cost may be determined for clustering the data set by minimizing the combination of the snapshot cost and the history cost. Any clustering method may be used, including flat clustering and hierarchical clustering.
摘要翻译： 提供了一种用于顺序数据集进化聚类的改进的系统和方法。 可以确定用于表示所使用的特定聚类方法的数据集的快照成本，并且可以独立于序列中的数据集的一系列聚类来确定数据集的聚类成本。 还可以确定历史成本用于测量数据集的相应簇之间的距离和数据集序列中的先前数据集之间的距离，以确定数据集的聚类成本，作为数据集的一系列聚类的一部分 序列。 可以通过最小化快照成本和历史成本的组合来确定用于对数据集进行聚类的总体成本。 可以使用任何聚类方法，包括平面聚类和层次聚类。
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9.发明申请System and method using hierachical clustering for evolutionary clustering of sequential data sets 有权使用层次聚类的序列数据集的进化聚类的系统和方法公开(公告)号：US20070255736A1
公开(公告)日：2007-11-01
申请号：US11414442
申请日：2006-04-29
IPC分类号： G06F7/00
CPC分类号： G06F17/30705 , G06K9/6218
摘要： An improved system and method for evolutionary clustering of sequential data sets is provided. A snapshot cost may be determined for representing the data set for a particular clustering method used and may determine the cost of clustering the data set independently of a series of clusterings of the data sets in the sequence. A history cost may also be determined for measuring the distance between corresponding clusters of the data set and the previous data set in the sequence of data sets to determine a cost of clustering the data set as part of a series of clusterings of the data sets in the sequence. An overall cost may be determined for clustering the data set by minimizing the combination of the snapshot cost and the history cost. Any clustering method may be used, including flat clustering and hierarchical clustering.
摘要翻译： 提供了一种用于顺序数据集进化聚类的改进的系统和方法。 可以确定用于表示所使用的特定聚类方法的数据集的快照成本，并且可以独立于序列中的数据集的一系列聚类来确定数据集的聚类成本。 还可以确定历史成本用于测量数据集的相应簇之间的距离和数据集序列中的先前数据集之间的距离，以确定数据集的聚类成本，作为数据集的一系列聚类的一部分 序列。 可以通过最小化快照成本和历史成本的组合来确定用于对数据集进行聚类的总体成本。 可以使用任何聚类方法，包括平面聚类和层次聚类。
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10.发明申请公开(公告)号：US20060282411A1
公开(公告)日：2006-12-14
申请号：US11151056
申请日：2005-06-13
申请人： Ronald Fagin , Ramanathan Guha , Phokion Kolaitis , Jasmine Novak , Shanmugasundaram Ravikumar , Dandapani Sivakumar , Andrew Tomkins
发明人： Ronald Fagin , Ramanathan Guha , Phokion Kolaitis , Jasmine Novak , Shanmugasundaram Ravikumar , Dandapani Sivakumar , Andrew Tomkins
IPC分类号： G06F17/30
CPC分类号： G06F17/30592 , Y10S707/99933
摘要： A multi-structural query system performs a high-level multi-dimensional query on a multi-structural database. The query system enables a user to navigate a search by adding restrictions incrementally. The query system uses a schema to discover structure in a multi-structural database. The query system leaves a choice of nodes to return in response to a query as a constrained set of choices available to the algorithm. The query system further casts the selection of a set of nodes as an optimization. The query system uses pairwise-disjoint collections to capture a concise set of highlights of a data set within the allowed schema. The query system further comprises efficient algorithms that yield approximately optimal solutions for several classes of objective functions.
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