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11. 发明授权

US10664889B2 System and method for combining and optimizing business strategies 有权
公开(公告)号：US10664889B2
公开(公告)日：2020-05-26
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： G06Q30/06 , G06N20/00 , G06Q30/02 , G06Q30/00 , H04L12/58 , G06Q10/00
摘要： A system and method for tracking subject behavior and making object recommendations include 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 and which includes a behavioral recommendation module, correlating profiles or uses other unconstrained methods for matching objects to subjects; a business rule module filtering and modifying recommendations by applying application-specific business logic to defined attributes of the objects; and a promotion module modifying the scores from the recommendation module to bias the recommendations towards certain objects based on additional business goals. The system continuously samples and assesses the performance of a variety of candidate recommendation strategies and optimizes the selection of rules and profiling methods.

12. 发明授权

US09697478B2 System and method for generating automated self-optimizing targeted e-mails 有权
公开(公告)号：US09697478B2
公开(公告)日：2017-07-04
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 , G06Q10/00 , H04L12/58 , G06N99/00 , G06Q30/02 , G06Q30/06
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.

13. 发明授权

US08903811B2 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：US08903811B2
公开(公告)日：2014-12-02
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： G06F9/44 , G06Q10/00 , H04L12/58 , G06N99/00 , G06Q30/00 , G06Q30/02 , G06Q30/06
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。

14. 发明申请

US20090248496A1 SYSTEM AND METHOD FOR AUTOMATING MARKET ANALYSIS FROM ANONYMOUS BEHAVIOR PROFILES 审中-公开
标题翻译：用于自动行为分析的市场分析系统和方法
公开(公告)号：US20090248496A1
公开(公告)日：2009-10-01
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： G06Q10/00 , G06Q50/00 , G06N3/08
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 likely 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. The object profiles can be clustered to create behavioral object categories. Additionally, a modeling module inverts the abstract subject and object profiles into physical attributes, such as predicting demographic or personality traits or subjective or other descriptive attributes of objects, such as size, shape, color, hipness, or trendiness. The system has application in market analysis and segmentation, behavioral targeting, product placement, 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可能的响应的对象。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。可以将对象配置文件聚类以创建行为对象类别。另外，建模模块将抽象对象和对象简档反转为物理属性，例如预测人口统计特征或人格特征，或主观或其他对象的描述性属性，如大小，形状，颜色，臀部或时尚性。该系统在市场分析和分割，行为定位，产品布置和在线广告方面有应用，仅举几例。

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