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    Intelligent performance-based product recommendation system
    1.
    发明授权
    Intelligent performance-based product recommendation system 有权
    智能性能型产品推荐系统

    公开(公告)号：US07809601B2

    公开(公告)日：2010-10-05

    申请号：US09981516

    申请日：2001-10-17

    申请人： Steven A. Shaya ,  Neal Matheson ,  John Anthony Singarayar ,  Nikiforos Kollias ,  Jeffrey Adam Bloom

    发明人： Steven A. Shaya ,  Neal Matheson ,  John Anthony Singarayar ,  Nikiforos Kollias ,  Jeffrey Adam Bloom

    IPC分类号： G06F17/30

    CPC分类号： G06Q30/0631 ,  G06Q30/02 ,  G06Q30/0202 ,  G06Q30/0254 ,  G06Q30/0282 ,  G06Q30/0641

    摘要： Systems and methods of utilizing communications networks and multivariate analysis to predict or recommend optimal products from a predefined population of commercially available products are disclosed. The recommendations are based on intelligence contained in processing elements and subjective and/or objective product information received from consumers or input to the systems as part of their initial setup. The output of the systems comprise sets of products that they predict the consumer will prefer and/or perform well for the problem or concern identified by the consumer. The performance and preference predictions are a function of consumer problems and product responsiveness patterns. Objective product information is generally obtained with diagnostic instruments. Data measured with the diagnostic instruments may be communicated to the data processing portions of the invention via the Internet. The outputs of the data processing portion of the system may be presented to consumers via the Internet as well.

    摘要翻译： 公开了利用通信网络和多变量分析来预测或推荐来自预定义的市售产品群体的最佳产品的系统和方法。 这些建议是基于处理要素中包含的智能，以及从消费者收到的主观和/或客观的产品信息，或作为其初始设置的一部分输入到系统。 系统的输出包括他们预测消费者将更喜欢和/或对于消费者所识别的问题或关切而表现良好的产品集合。 性能和偏好预测是消费者问题和产品响应模式的函数。 客观的产品信息通常用诊断仪器获得。 用诊断仪器测量的数据可以经由因特网传送到本发明的数据处理部分。 系统的数据处理部分的输出也可以经由因特网向消费者呈现。

    Intelligent performance-based product recommendation system
    2.
    发明授权
    Intelligent performance-based product recommendation system 有权
    智能性能型产品推荐系统

    公开(公告)号：US08666844B2

    公开(公告)日：2014-03-04

    申请号：US12820844

    申请日：2010-06-22

    申请人： Steven A. Shaya ,  Neal Matheson ,  John Anthony Singarayar ,  Nikiforos Kollias ,  Jeffrey Adam Bloom

    发明人： Steven A. Shaya ,  Neal Matheson ,  John Anthony Singarayar ,  Nikiforos Kollias ,  Jeffrey Adam Bloom

    IPC分类号： G06Q30/00

    CPC分类号： G06Q30/0631 ,  G06Q30/02 ,  G06Q30/0202 ,  G06Q30/0254 ,  G06Q30/0282 ,  G06Q30/0641

    摘要： Systems and methods of utilizing communications networks and multivariate analysis to predict or recommend optimal products from a predefined population of commercially available products are disclosed. The recommendations are based on intelligence contained in processing elements and subjective and/or objective product information received from consumers or input to the systems as part of their initial setup. The output of the systems comprise sets of products that they predict the consumer will prefer and/or perform well for the problem or concern identified by the consumer. The performance and preference predictions are a function of consumer problems and product responsiveness patterns. Objective product information is generally obtained with diagnostic instruments. Data measured with the diagnostic instruments may be communicated to the data processing portions of the invention via the Internet. The outputs of the data processing portion of the system may be presented to consumers via the Internet as well.

    摘要翻译： 公开了利用通信网络和多变量分析来预测或推荐来自预定义的市售产品群体的最佳产品的系统和方法。 这些建议是基于处理要素中包含的智能，以及从消费者收到的主观和/或客观的产品信息，或作为其初始设置的一部分输入到系统。 系统的输出包括他们预测消费者将更喜欢和/或对于消费者所识别的问题或关切而表现良好的产品集合。 性能和偏好预测是消费者问题和产品响应模式的函数。 客观的产品信息通常用诊断仪器获得。 用诊断仪器测量的数据可以经由因特网传送到本发明的数据处理部分。 系统的数据处理部分的输出也可以经由因特网向消费者呈现。

    INTELLIGENT PERFORMANCE-BASED PRODUCT RECOMMENDATION
    3.
    发明申请
    INTELLIGENT PERFORMANCE-BASED PRODUCT RECOMMENDATION 有权
    智能性能产品推荐

    公开(公告)号：US20100262556A1

    公开(公告)日：2010-10-14

    申请号：US12820844

    申请日：2010-06-22

    申请人： Steven A. Shaya ,  Neal Matheson ,  John Anthony Singarayar ,  Nikiforos Kollias ,  Jeffrey Adam Bloom

    发明人： Steven A. Shaya ,  Neal Matheson ,  John Anthony Singarayar ,  Nikiforos Kollias ,  Jeffrey Adam Bloom

    IPC分类号： G06Q99/00 ,  G06N5/02

    CPC分类号： G06Q30/0631 ,  G06Q30/02 ,  G06Q30/0202 ,  G06Q30/0254 ,  G06Q30/0282 ,  G06Q30/0641

    摘要： Systems and methods of utilizing communications networks and multivariate analysis to predict or recommend optimal products from a predefined population of commercially available products are disclosed. The recommendations are based on intelligence contained in processing elements and subjective and/or objective product information received from consumers or input to the systems as part of their initial setup. The output of the systems comprise sets of products that they predict the consumer will prefer and/or perform well for the problem or concern identified by the consumer. The performance and preference predictions are a function of consumer problems and product responsiveness patterns. Objective product information is generally obtained with diagnostic instruments. Data measured with the diagnostic instruments may be communicated to the data processing portions of the invention via the Internet. The outputs of the data processing portion of the system may be presented to consumers via the Internet as well.

    摘要翻译： 公开了利用通信网络和多变量分析来预测或推荐来自预定义的市售产品群体的最佳产品的系统和方法。 这些建议是基于处理要素中包含的智能，以及从消费者收到的主观和/或客观的产品信息，或作为其初始设置的一部分输入到系统。 系统的输出包括他们预测消费者将更喜欢和/或对于消费者所识别的问题或关切而表现良好的产品集合。 性能和偏好预测是消费者问题和产品响应模式的函数。 客观的产品信息通常用诊断仪器获得。 用诊断仪器测量的数据可以经由因特网传送到本发明的数据处理部分。 系统的数据处理部分的输出也可以经由因特网向消费者呈现。