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    • 1. 发明申请
    • RECOMMENDING REPEATED TRANSACTIONS
    • 推荐重审交易
    • US20130173419A1
    • 2013-07-04
    • US13731071
    • 2012-12-30
    • CERTONA CORPORATION
    • Benjamin S. FarberGeoffrey J. HueterZachariah A. Freitas
    • G06Q30/06
    • G06Q30/0631
    • A computer implemented web-based system and computer implemented web-based method is disclosed for recording, repeated transactions of objects or groups of objects by subjects, utilizing the duration between transactions to predict the next transaction time of an object by a subject, and recommending the object to the subject based on the predicted next transaction time. The system can also classify object according to their replenishment behavior and make product recommendations based on the class of objects a subject shows interest in. Objects include movies, books, songs, commercial products, news articles, advertisements or any other type of content or physical item. The system has application in personalization, behavioral targeting, Internet retailing, and interactive radio, to name but a few applications.
    • 公开了一种计算机实现的基于网络的系统和计算机实现的基于网络的方法,用于通过对象记录对象或对象组的重复交易,利用事务之间的持续时间来预测对象的下一个交易时间,并推荐 基于预测下一个交易时间的对象。 系统还可以根据其补充行为对对象进行分类,并根据受试者所感兴趣的对象的类别提出产品建议。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。 该系统在个性化,行为定位,互联网零售和交互式无线电中都有应用,仅举几例。