会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 15. 发明授权
    • Universal system and method for representing and predicting human behavior
    • 用于表示和预测人类行为的通用系统和方法
    • US08566256B2
    • 2013-10-22
    • US12415758
    • 2009-03-31
    • Geoffrey J. HueterSteven C. QuandtNoble H. Hueter
    • Geoffrey J. HueterSteven C. QuandtNoble H. Hueter
    • G06E1/00G06E3/00G06F15/18G06G7/00
    • G06Q30/0631G06N99/005G06Q10/00G06Q30/00G06Q30/0185G06Q30/0201G06Q30/0202G06Q30/0255G06Q30/0269H04L51/12
    • 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.
    • 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。
    • 19. 发明申请
    • FAULT TOLERANCE AND MAINTAINING SERVICE RESPONSE UNDER UNANTICIPATED LOAD CONDITIONS
    • 在不同的负载条件下的容忍和维护服务的反应
    • US20130173809A1
    • 2013-07-04
    • US13731076
    • 2012-12-30
    • CERTONA CORPORATION
    • Geoffrey J. HueterSteven C. QuandtNoble H. HueterDane N. Ruyle
    • H04L29/08
    • H04L29/08153H04L29/06H04L67/1004H04L67/1034
    • A system and method is disclosed for allocating servers across a large number of applications and for providing a predictable and consistent service response under conditions where the use of the service and associated loads is driven by unknown factors. The invention provides fault tolerance within an application through multiple resources per application and fault tolerance across applications by limiting the overlap in resources between applications. The computational load on the service may include both individual processing time due to the complexity of a single request and the number of requests. Complexity may be unpredictable because the service is self-provisioned and may allow service users to create an arbitrary sequence of compound processing steps. The number of requests may vary due to a variety of events, including daily, seasonal, or holidays, or factors driven more directly by the user of the service, such as sales, advertising, or promotions. The invention throttles server loads to provide managed degradation of application processing. The system has application in personalization, behavioral targeting, Internet retailing, personalized search, email segmentation and ad targeting, to name but a few applications.
    • 公开了一种用于在大量应用中分配服务器的系统和方法,并且用于在使用服务和相关联的负载由未知因素驱动的条件下提供可预测且一致的服务响应。 本发明通过限制应用程序之间的资源重叠来在应用程序中通过每个应用程序的多个资源和跨应用程序的容错来提供应用程序内的容错。 由于单个请求的复杂性和请求的数量,服务上的计算负载可以包括单独的处理时间。 复杂性可能是不可预测的,因为服务是自供应的,并且可以允许服务用户创建任意的复合处理步骤序列。 由于各种事件(包括日常,季节或假期)或服务使用者更直接的推动因素(如销售,广告或促销),请求数量可能会有所不同。 本发明阻止服务器负载以提供应用处理的管理劣化。 该系统在个性化,行为定位,互联网零售,个性化搜索,电子邮件分割和广告定位方面都有应用,仅举几例。
    • 20. 发明申请
    • KEYWORD INDEX PRUNING
    • 关键字索引
    • US20130173583A1
    • 2013-07-04
    • US13731069
    • 2012-12-30
    • CERTONA CORPORATION
    • Geoffrey J. HueterBenjamin S. Farber
    • G06F17/30
    • G06F17/3002G06F17/30616
    • 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 score keywords on their search effectiveness and eliminate ineffective keywords from the keyword index. 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.
    • 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。 该系统还可以根据搜索有效性对关键字进行评分,并从关键字索引中消除关键词无效。 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。