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1. 发明申请

US20150082426A1 Method and System for Inferring Risk of Data Leakage from Third-Party Tags 审中-公开
标题翻译：推荐第三方标签数据泄露风险的方法与系统
公开(公告)号：US20150082426A1
公开(公告)日：2015-03-19
申请号：US14478714
申请日：2014-09-05
申请人： Acxiom Corporation
发明人： Vivek Palan , Paul Owen , Frank Ledo , Ben Jolitz
IPC分类号： H04L29/06 , G06Q10/06
CPC分类号： G06Q10/0635 , G06F21/6245 , G06F2221/2119 , G06Q30/02 , H04L63/1433 , H04L63/1466
摘要： A method and system for assessing the data leakage threat associated with third-party tags on a particular website, such as a content publisher site, is assessed by mimicking a standard web browser. Each third-party tag on the site is identified and investigated in a hierarchical manner, and a data leakage threat score is assigned to each third-party tag based on certain attributes associated with the tag and the resource linked by the third-party tag. A cumulative data leakage threat score is then calculated to determine if the site is a data leakage threat, such as a threat for misuse of a consumer's data.
摘要翻译：通过模拟标准网络浏览器来评估用于评估与特定网站（例如内容发布者站点）上的第三方标签相关联的数据泄漏威胁的方法和系统。基于与标签相关联的特定属性和由第三方标签链接的资源的特定属性，以层次的方式识别和调查站点上的每个第三方标签，并将数据泄漏威胁评分分配给每个第三方标签。然后计算累积的数据泄漏威胁分数，以确定该站点是否是数据泄露威胁，例如对使用者的数据的滥用的威胁。

2. 发明授权

US10108918B2 Method and system for inferring risk of data leakage from third-party tags 有权
公开(公告)号：US10108918B2
公开(公告)日：2018-10-23
申请号：US14478714
申请日：2014-09-05
申请人： Acxiom Corporation
发明人： Vivek Palan , Paul Owen , Frank Ledo , Ben Jolitz
IPC分类号： G06Q10/06 , H04L29/06 , G06Q30/02 , G06F21/51 , G06F21/57
摘要： A method and system for assessing the data leakage threat associated with third-party tags on a particular website, such as a content publisher site, is assessed by mimicking a standard web browser. Each third-party tag on the site is identified and investigated in a hierarchical manner, and a data leakage threat score is assigned to each third-party tag based on certain attributes associated with the tag and the resource linked by the third-party tag. A cumulative data leakage threat score is then calculated to determine if the site is a data leakage threat, such as a threat for misuse of a consumer's data.

3. 发明申请

US20150081436A1 Method and System for Determining a Next Best Offer 审中-公开
标题翻译：确定下一个最佳报价的方法和系统
公开(公告)号：US20150081436A1
公开(公告)日：2015-03-19
申请号：US14478994
申请日：2014-09-05
申请人： Acxiom Corporation
发明人： Dana S. Robbins , Vivek Palan , Lik Mui , Gabrielle Tao
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0255
摘要： A method and system for determining a next best offer utilizes a data layer, two consumer data hubs, and a decision engine. The data layer includes numerous sources of consumer data, such as transaction data, past campaign response data, demographic data, predictive or propensity data, and real-time data such as website clickstreams. Separate consumer data hubs are used for data records that include personally identifiable information (PII) and those that do not. By using separate data hubs in this manner, online anonymous data may be used for targeting marketing, but this data may be maintained separately from PII data in order to ensure that the privacy of the consumer is protected.
摘要翻译：用于确定下一个最佳报价的方法和系统利用数据层，两个消费者数据中心和决策引擎。数据层包括许多消费者数据来源，例如交易数据，过去的活动响应数据，人口统计数据，预测或倾向数据以及诸如网站点击流之类的实时数据。单独的消费者数据中心用于包括个人身份信息（PII）和不包含个人身份信息（PII）的数据记录。通过以这种方式使用单独的数据中心，可以将在线匿名数据用于定位营销，但是该数据可以与PII数据分开维护，以确保消费者的隐私受到保护。

4. 发明申请

US20150088612A1 Method for Analyzing Website Visitors Using Anonymized Behavioral Prediction Models 审中-公开
标题翻译：使用匿名行为预测模型分析网站访问者的方法
公开(公告)号：US20150088612A1
公开(公告)日：2015-03-26
申请号：US14479022
申请日：2014-09-05
申请人： Acxiom Corporation
发明人： Vivek Palan , Brian Frederick Killen , Lik Mui , Noel Bradley McMichael , Frank Ledo , Paul Owen
IPC分类号： G06Q30/02 , G06F17/30 , G06N5/04 , H04L12/26
CPC分类号： G06Q30/0202 , G06F11/3438 , G06F16/29 , G06F16/951 , G06F2201/875 , G06F2201/88 , G06Q30/0205
摘要： A method for analyzing web visitors using anonymized behavior production models begins with a website visitor accessing a website. The website includes a web beacon, which redirects the website visitor's browser to the server of a marketing services provider (MSP). The MSP server reads a cookie previously set by the MSP that includes an anonymous link. The anonymous link may be used to match data related to the website visitor that is maintained by the MSP, and browsing activity for that visitor is stored in an activity database from which periodic reports may be constructed for the website owner. The anonymous link is not associated with any personally identifiable information (PII), and thus privacy for the visitor is maintained.
摘要翻译：使用匿名行为生产模型分析网络访问者的方法从访问网站的网站访问者开始。该网站包括一个网络信标，将网站访问者的浏览器重定向到营销服务提供商（MSP）的服务器。 MSP服务器读取由MSP先前设置的包含匿名链接的cookie。匿名链接可以用于匹配与MSP维护的网站访问者相关的数据，并且该访问者的浏览活动被存储在活动数据库中，可以为该网站所有者构建定期报告。匿名链接与任何个人身份信息（PII）无关，因此维护访问者的隐私。

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