LEARNING USER PURCHASE INTENT FROM USER-CENTRIC DATA
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    发明申请
    LEARNING USER PURCHASE INTENT FROM USER-CENTRIC DATA 审中-公开
    从用户中心数据学习用户购买信息

    公开(公告)号:US20100114654A1

    公开(公告)日:2010-05-06

    申请号:US12263176

    申请日:2008-10-31

    IPC分类号: G06Q30/00

    CPC分类号: G06Q30/00 G06Q30/0256

    摘要: A method of predicting user purchase intent from user-centric data includes applying a classification model to a user-centric clickstream, where the classification model predicting a likelihood of a future user purchase by a user within one or more product categories, and customizing content displayed to the user based on the likelihood of future user purchase. A system of predicting user purchase intent from user-centric data includes a computer programmed to record a user's clickstream data as a user accesses a plurality of different websites. The computer is also loaded with a classification model configured to predict a likelihood of a future user purchase by the user within one or more product categories based on the clickstream data. A method of predicting user purchase intent from user-centric data includes, with a user's own computer, recording user-centric clickstream data based on visits to a plurality of different websites; and storing a smart cooked based on the clickstream data on the user's own computer.

    摘要翻译: 一种以用户为中心的数据预测用户购买意图的方法包括将分类模型应用于以用户为中心的点击流,其中分类模型预测用户在一个或多个产品类别中进行未来用户购买的可能性,并定制显示的内容 基于未来用户购买的可能性。 以用户为中心的数据预测用户购买意向的系统包括被编程为当用户访问多个不同网站时记录用户的点击流数据的计算机。 计算机还装载有分类模型,其被配置为基于点击流数据来预测用户在一个或多个产品类别中的未来用户购买的可能性。 以用户为中心的数据预测用户购买意图的方法包括用户自己的计算机,基于对多个不同网站的访问来记录以用户为中心的点击流数据; 并将基于点击流数据的智能烹饪存储在用户自己的计算机上。