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1. 发明授权

US10290039B2 System and method for automating market analysis from anonymous behavior profiles 有权
公开(公告)号：US10290039B2
公开(公告)日：2019-05-14
申请号：US12416524
申请日：2009-04-01
申请人： Geoffrey J. Hueter , Steven C. Quandt
发明人： Geoffrey J. Hueter , Steven C. Quandt
IPC分类号： G06Q30/02 , G06Q30/06 , G06N20/00 , G06Q10/00 , G06Q30/00 , H04L12/58
摘要： A system and method is disclosed for profiling subjects and objects based on subjects' responses to various objects, for purposes of determining and presenting the objects most likely to generate the most likely response from each visitor. Object ratings are explicitly submitted by subjects or derived implicitly from visitor interactions with the objects. A profiling engine processes the ratings information and generates compact profiles of each subject and object based on similarities and differences in affinities between the group of subjects and the group of objects. The object profiles can be clustered to create behavioral object categories. Additionally, a modeling module inverts the abstract subject and object profiles into marketing attributes. The system has application in market analysis and segmentation, behavioral targeting, product placement, and online advertising, to name but a few applications.

2. 发明申请

US20090248682A1 SYSTEM AND METHOD FOR PERSONALIZED SEARCH 有权
标题翻译：用于个性化搜索的系统和方法
公开(公告)号：US20090248682A1
公开(公告)日：2009-10-01
申请号：US12416434
申请日：2009-04-01
申请人： Geoffrey J. Hueter , Steven C. Quandt
发明人： Geoffrey J. Hueter , Steven C. Quandt
IPC分类号： G06F17/30
CPC分类号： G06Q30/0631 , G06N99/005 , G06Q10/00 , G06Q30/00 , G06Q30/0185 , G06Q30/0201 , G06Q30/0202 , G06Q30/0255 , G06Q30/0269 , H04L51/12
摘要： A system and method is disclosed for profiling a subject's search engine keywords and results based on relevancy feedback. Because the system is based on the search behavior of the user, the profiling is language independent and balances the specificity of search terms against the profiled interests of the user. The system can also synthesize new keyword combinations to assist the user in refining the search or acquiring related content. The system has application in text mining, personalization, behavioral search, search engine optimization, and content acquisition, to name but a few applications.
摘要翻译：公开了一种系统和方法，用于基于相关性反馈对主题的搜索引擎关键词和结果进行分析。由于系统是基于用户的搜索行为，所以分析是独立于语言的，并且将搜索词的特异性与用户的个人兴趣平衡。该系统还可以合成新的关键字组合，以帮助用户改进搜索或获取相关内容。该系统在文本挖掘，个性化，行为搜索，搜索引擎优化和内容获取方面有应用，仅举几例。

3. 发明申请

US20090248497A1 SYSTEM AND METHOD FOR QUANTIFYING AND DETECTING NON-NORMATIVE BEHAVIOR 有权
标题翻译：用于定量和检测非正常行为的系统和方法
公开(公告)号：US20090248497A1
公开(公告)日：2009-10-01
申请号：US12416819
申请日：2009-04-01
申请人： Geoffrey J. Hueter
发明人： Geoffrey J. Hueter
IPC分类号： G06Q99/00 , G06Q10/00
CPC分类号： G06Q30/0631 , G06N99/005 , G06Q10/00 , G06Q30/00 , G06Q30/0185 , G06Q30/0201 , G06Q30/0202 , G06Q30/0255 , G06Q30/0269 , H04L51/12
摘要： A system and method is disclosed for monitoring human interactions, including transactions and communications, profiling the subject and objects in those interactions, and comparing subject profiles to profiles of subjects with known characteristics to determine whether the test subject is normal or abnormal subjects. The behavior data can be collected electronically in a virtual environment, such as a website, through video surveillance, card access, phone records, purchase histories, or any other consistent identified record of behavior. The invention has application in detecting various types of unusual and malicious activity, including spam, viruses, terrorism, identity theft, and money laundering, to name but a few applications.
摘要翻译：公开了一种用于监测人类交互的系统和方法，包括交易和通信，对这些交互中的主题和对象进行分析，以及将受试者分布与具有已知特征的受试者的轮廓进行比较，以确定测试对象是正常的还是异常的受试者。行为数据可以在诸如网站的虚拟环境中通过视频监控，卡访问，电话记录，购买历史或任何其他一致的确定的行为记录进行电子收集。本发明可应用于检测各种类型的异常和恶意活动，包括垃圾邮件，病毒，恐怖主义，身份盗用和洗钱等。

4. 发明申请

US20090248523A1 SYSTEM AND METHOD FOR GENERATING AUTOMATED SELF-OPTIMIZING TARGETED E-MAILS 有权
标题翻译：用于生成自动优化目标电子邮件的系统和方法
公开(公告)号：US20090248523A1
公开(公告)日：2009-10-01
申请号：US12416388
申请日：2009-04-01
申请人： Geoffrey J. Hueter , Steven C. Quandt , Noble H. Hueter , Christopher J. Bryant
发明人： Geoffrey J. Hueter , Steven C. Quandt , Noble H. Hueter , Christopher J. Bryant
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0631 , G06N99/005 , G06Q10/00 , G06Q30/00 , G06Q30/0185 , G06Q30/0201 , G06Q30/0202 , G06Q30/0255 , G06Q30/0269 , H04L51/12
摘要： A system and method is disclosed for generating targeted e-mails based on individual subject behavior and interests, as determined by an application's website browsing behavior, online and offline purchases, ratings, and other implicit and explicit indications of subject preferences and interests. The subject's behavior data is collected directly from the subject's client browser or from the application's own information and used to generate profiles of the subjects that will be sent e-mails and the objects that will be recommended. Targeted content is generated by matching subject and object profiles in combination with any subject segmentation filters that the application provides. The e-mail targeting is optimized by measuring subject response to targeted e-mails and adjusting recommendation strategies used to generate subsequent recommendations. The system has application in personalization, behavioral targeting, Internet retailing, affiliate marketing, and online advertising, to name but a few applications.
摘要翻译：公开了一种系统和方法，用于基于个人主体行为和兴趣来生成针对性的电子邮件，如由应用程序的网站浏览行为，在线和离线购买，评级以及其他隐含和明确的主题偏好和兴趣的指示所确定的。受试者的行为数据直接从受试者的客户端浏览器或应用程序自己的信息中收集，并用于生成将发送电子邮件的主题和将被推荐的对象的配置文件。通过将主题和对象简档与应用程序提供的任何主题分段过滤器相结合来生成目标内容。通过测量对目标电子邮件的主题响应并调整用于生成后续建议的推荐策略，优化电子邮件定位。该系统在个性化，行为定位，互联网零售，联盟营销和在线广告方面都有应用，仅举几例。

5. 发明申请

US20090248495A1 SYSTEM AND METHOD FOR COMBINING AND OPTIMIZING BUSINESS STRATEGIES 审中-公开
标题翻译：用于组合和优化业务战略的系统和方法
公开(公告)号：US20090248495A1
公开(公告)日：2009-10-01
申请号：US12416083
申请日：2009-03-31
申请人： Geoffrey J. Hueter , Steven C. Quandt , Christopher J. Bryant
发明人： Geoffrey J. Hueter , Steven C. Quandt , Christopher J. Bryant
IPC分类号： G06Q30/00 , G06Q10/00
CPC分类号： G06Q30/0631 , G06N20/00 , G06Q10/00 , G06Q30/00 , G06Q30/0185 , G06Q30/0201 , G06Q30/0202 , G06Q30/0204 , G06Q30/0255 , G06Q30/0269 , H04L51/12
摘要： A system and method is disclosed for tracking subject behavior and making object recommendations to drive the subject to a desired outcome. The system consists of several components: a data collection module that captures subject behavior and provides behavioral context for the recommendations; a profiling module that extracts characteristics of subjects and objects from the behavior data; and a recommendation module, which uses the profiles and the behavior context to generate personalized content, including product recommendations, content recommendations, and advertisements. The recommendation module consists of several sub-modules: a behavioral recommendation module, which matches profiles or uses other unconstrained methods for matching objects to subjects; a business rule module, which filters and modifies recommendations by applying application-specific business logic to defined attributes of the objects; and a promotion engine, which modifies the scores from the recommendation module to bias the recommendations towards certain objects based on additional business goals, such as exposing new objects, selling out old products, or satisfying promotional business agreements with partners. The system continuously samples and assesses the performance of a variety of candidate recommendation strategies and optimizes the selection of the rules and profiling methods to maximize or minimize the value of some objective function that characterizes the system. The system has application to Internet retailing, behavioral targeting, recommendation systems, personalization, business rules, and business optimization.
摘要翻译：公开了一种系统和方法，用于跟踪对象行为并提出对象建议以将受试者驱动到期望的结果。该系统由几个组件组成：数据收集模块，用于捕获主题行为并提供建议的行为背景; 分析模块，从行为数据中提取主体和对象的特征; 以及推荐模块，其使用简档和行为上下文来生成个性化内容，包括产品建议，内容推荐和广告。推荐模块由几个子模块组成：一个行为推荐模块，其匹配配置文件或使用其他无约束方法将对象与对象相匹配; 业务规则模块，其通过将特定于应用程序的业务逻辑应用于对象的定义属性来过滤和修改建议; 以及促销引擎，其改进来自推荐模块的分数，以基于额外的业务目标（诸如暴露新对象，销售旧产品或与合作伙伴达成促销商务协议）来将建议偏向某些对象。系统不断地对各种候选推荐策略进行抽样和评估，并优化了规则和分析方法的选择，以最大化或最小化系统特征的一些目标函数的价值。该系统应用于互联网零售，行为定位，推荐系统，个性化，业务规则和业务优化。

6. 发明申请

US20090248494A1 SYSTEM AND METHOD FOR COLLECTING AND TARGETING VISITOR BEHAVIOR 有权
标题翻译：用于收集和指导访客行为的系统和方法
公开(公告)号：US20090248494A1
公开(公告)日：2009-10-01
申请号：US12416005
申请日：2009-03-31
申请人： Geoffrey J. Hueter , Steven C. Quandt , Noble H. Hueter , Meyar Sheik
发明人： Geoffrey J. Hueter , Steven C. Quandt , Noble H. Hueter , Meyar Sheik
IPC分类号： G06Q30/00 , G06N5/02 , G06Q10/00 , G06F17/30
CPC分类号： G06Q30/0631 , G06N99/005 , G06Q10/00 , G06Q30/00 , G06Q30/0185 , G06Q30/0201 , G06Q30/0202 , G06Q30/0255 , G06Q30/0269 , H04L51/12
摘要： A system and method is disclosed for collecting website visitor activity for profiling visitor interests and dynamically modifying the content of the website to better match the visitor's profile. The visitor activity data is collected directly from the visitor's client browser or from the website's own web log information. The collected data consists of the page identifier, page links, and the previous page identifier. Similarly, the modified page content can be sent directly to the client browser or can be sent back to the website server for integration with the other page content. The collected data is stored in a database. Based on the amount of information collected on the visitor and the various items that are presented on the website, the visitors and items are profiled so that a visitor's response to other items can be predicted and recommended to the visitor. The recommendations can be requested and displayed directly by and to the client browser or the website server can make the request and subsequently display the matching content. The system has application in personalization, behavioral targeting, Internet retailing, social networking, affiliate marketing, and online advertising, to name but a few applications.
摘要翻译：公开了一种系统和方法，用于收集网站访问者活动以分析访客兴趣并动态修改网站的内容以更好地匹配访客的个人资料。访问者活动数据直接从访问者的客户端浏览器或网站自己的Web日志信息收集。收集的数据由页面标识符，页面链接和前一页标识符组成。类似地，修改的页面内容可以直接发送到客户端浏览器，或者可以发送回网站服务器以与其他页面内容集成。收集的数据存储在数据库中。根据访问者收集的信息量和网站上提供的各种信息，访客和项目进行了概览，以便访问者对其他项目的回应可以预测并推荐给访问者。可以直接向客户端浏览器请求和显示建议，或者网站服务器可以进行请求，随后显示匹配的内容。该系统在个性化，行为定位，互联网零售，社交网络，联盟营销和在线广告方面都有应用，仅举几例。

7. 发明授权

US09916611B2 System and method for collecting and targeting visitor behavior 有权
公开(公告)号：US09916611B2
公开(公告)日：2018-03-13
申请号：US12416005
申请日：2009-03-31
申请人： Geoffrey J. Hueter , Steven C. Quandt , Noble H. Hueter , Meyar Sheik
发明人： Geoffrey J. Hueter , Steven C. Quandt , Noble H. Hueter , Meyar Sheik
IPC分类号： G06Q30/00 , G06Q30/06 , G06Q10/00 , G06Q30/02 , G06N99/00 , H04L12/58
CPC分类号： G06Q30/0631 , G06N99/005 , G06Q10/00 , G06Q30/00 , G06Q30/0185 , G06Q30/0201 , G06Q30/0202 , G06Q30/0255 , G06Q30/0269 , H04L51/12
摘要： A system and method is disclosed for collecting website visitor activity for profiling visitor interests and dynamically modifying the content of the website to better match the visitor's profile. The visitor activity data is collected directly from the visitor's client browser or from the website's own web log information. The collected data consists of the page identifier, page links, and the previous page identifier. Similarly, the modified page content can be sent directly to the client browser or can be sent back to the website server for integration with the other page content. The collected data is stored in a database. Based on the amount of information collected on the visitor and the various items that are presented on the website, the visitors and items are profiled so that a visitor's response to other items can be predicted and recommended to the visitor. The recommendations can be requested and displayed directly by and to the client browser or the website server can make the request and subsequently display the matching content. The system has application in personalization, behavioral targeting, Internet retailing, social networking, affiliate marketing, and online advertising, to name but a few applications.

8. 发明授权

US08788445B2 System and method for quantifying and detecting non-normative behavior 有权
标题翻译：用于量化和检测非规范行为的系统和方法
公开(公告)号：US08788445B2
公开(公告)日：2014-07-22
申请号：US12416819
申请日：2009-04-01
申请人： Geoffrey J. Hueter
发明人： Geoffrey J. Hueter
IPC分类号： G06N5/00 , G06F17/00 , G06Q30/02 , G06Q30/00 , G06Q10/00 , G06Q30/06 , G06N99/00 , H04L12/58
CPC分类号： G06Q30/0631 , G06N99/005 , G06Q10/00 , G06Q30/00 , G06Q30/0185 , G06Q30/0201 , G06Q30/0202 , G06Q30/0255 , G06Q30/0269 , H04L51/12
摘要： A system and method is disclosed for monitoring human interactions, including transactions and communications, profiling the subject and objects in those interactions, and comparing subject profiles to profiles of subjects with known characteristics to determine whether the test subject is normal or abnormal subjects. The behavior data can be collected electronically in a virtual environment, such as a website, through video surveillance, card access, phone records, purchase histories, or any other consistent identified record of behavior. The invention has application in detecting various types of unusual and malicious activity, including spam, viruses, terrorism, identity theft, and money laundering, to name but a few applications.
摘要翻译：公开了一种用于监测人类交互的系统和方法，包括交易和通信，对这些交互中的主题和对象进行分析，以及将受试者分布与具有已知特征的受试者的轮廓进行比较，以确定测试对象是正常的还是异常的受试者。行为数据可以在诸如网站的虚拟环境中通过视频监控，卡访问，电话记录，购买历史或任何其他一致的确定的行为记录进行电子收集。本发明可应用于检测各种类型的异常和恶意活动，包括垃圾邮件，病毒，恐怖主义，身份盗用和洗钱等。

9. 发明授权

US08566256B2 Universal system and method for representing and predicting human behavior 有权
标题翻译：用于表示和预测人类行为的通用系统和方法
公开(公告)号：US08566256B2
公开(公告)日：2013-10-22
申请号：US12415758
申请日：2009-03-31
申请人： Geoffrey J. Hueter , Steven C. Quandt , Noble H. Hueter
发明人： Geoffrey J. Hueter , Steven C. Quandt , Noble H. Hueter
IPC分类号： G06E1/00 , G06E3/00 , G06F15/18 , G06G7/00
CPC分类号： G06Q30/0631 , G06N99/005 , G06Q10/00 , G06Q30/00 , G06Q30/0185 , G06Q30/0201 , G06Q30/0202 , G06Q30/0255 , G06Q30/0269 , H04L51/12
摘要： A system and method is disclosed for profiling subjects and objects based on subjects' responses to various objects for purposes of determining and presenting the objects most likely to generate the most positive response from each visitor. Object ratings, such as aesthetic response, preference, interest, or relevancy, are explicitly submitted by subjects or derived implicitly from visitor interactions with the objects. Objects include movies, books, songs, commercial products, news articles, advertisements or any other type of content or physical item. A profiling engine processes the ratings information and generates compact profiles of each subject and object based on the similarities and differences in affinities between the group of subjects and the group of objects. A recommendation engine then generates recommendations to a subject based on similarity between the subject and object profiles. The recommendation engine can also match subjects to other subjects and objects to other objects. The recommendation engine can also predict affinity across object catalogs and across time. Additionally, the object profiles can be clustered to create behavioral object categories. The system has application in personalization, behavioral targeting, Internet retailing and interactive radio, to name but a few applications.
摘要翻译：公开了一种系统和方法，用于基于受试者对各种对象的反应来分析对象和对象，以便确定和呈现最有可能从每个访问者产生最积极的响应的对象。对象评级，如美学反应，偏好，兴趣或相关性，由科目显式提交或隐含地从访问者与对象的交互中衍生出来。对象包括电影，书籍，歌曲，商业产品，新闻文章，广告或任何其他类型的内容或物理项目。分析引擎处理评级信息，并且基于对象组和对象组之间的亲和度的相似性和差异，来生成每个对象和对象的紧凑简档。然后，推荐引擎基于主题和对象简档之间的相似性生成对主题的建议。推荐引擎还可以将主题与其他主题和对象匹配到其他对象。推荐引擎还可以预测跨目标目录和跨越时间的亲和力。此外，可以将对象配置文件聚类以创建行为对象类别。该系统在个性化，行为定位，互联网零售和交互式无线电中的应用，仅举几例。

10. 发明申请

US20090248599A1 UNIVERSAL SYSTEM AND METHOD FOR REPRESENTING AND PREDICTING HUMAN BEHAVIOR 有权
标题翻译：通用系统和表示和预测人类行为的方法
公开(公告)号：US20090248599A1
公开(公告)日：2009-10-01
申请号：US12415758
申请日：2009-03-31
申请人： Geoffrey J. Hueter , Steven C. Quandt , Noble H. Hueter
发明人： Geoffrey J. Hueter , Steven C. Quandt , Noble H. Hueter
IPC分类号： G06N3/02 , G06F15/18 , G06Q30/00
CPC分类号： G06Q30/0631 , G06N99/005 , G06Q10/00 , G06Q30/00 , G06Q30/0185 , G06Q30/0201 , G06Q30/0202 , G06Q30/0255 , G06Q30/0269 , H04L51/12
摘要： A system and method is disclosed for profiling subjects and objects based on subjects' responses to various objects for purposes of determining and presenting the objects most likely to generate the most positive response from each visitor. Object ratings, such as aesthetic response, preference, interest, or relevancy, are explicitly submitted by subjects or derived implicitly from visitor interactions with the objects. Objects include movies, books, songs, commercial products, news articles, advertisements or any other type of content or physical item. A profiling engine processes the ratings information and generates compact profiles of each subject and object based on the similarities and differences in affinities between the group of subjects and the group of objects. A recommendation engine then generates recommendations to a subject based on similarity between the subject and object profiles. The recommendation engine can also match subjects to other subjects and objects to other objects. The recommendation engine can also predict affinity across object catalogs and across time. Additionally, the object profiles can be clustered to create behavioral object categories. The system has application in personalization, behavioral targeting, Internet retailing and interactive radio, to name but a few applications.
摘要翻译：公开了一种系统和方法，用于基于受试者对各种对象的反应来分析对象和对象，以便确定和呈现最有可能从每个访问者产生最积极的响应的对象。对象评级，如美学反应，偏好，兴趣或相关性，由科目显式提交或隐含地从访问者与对象的交互中衍生出来。对象包括电影，书籍，歌曲，商业产品，新闻文章，广告或任何其他类型的内容或物理项目。分析引擎处理评级信息，并且基于对象组和对象组之间的亲和度的相似性和差异，来生成每个对象和对象的紧凑简档。然后，推荐引擎基于主题和对象简档之间的相似性生成对主题的建议。推荐引擎还可以将主题与其他主题和对象匹配到其他对象。推荐引擎还可以预测跨目标目录和跨越时间的亲和力。此外，可以将对象配置文件聚类以创建行为对象类别。该系统在个性化，行为定位，互联网零售和交互式无线电中的应用，仅举几例。

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