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Automatic Computation of Keyword Bids For Pay-Per-Click Advertising Campaigns and Methods and Systems Incorporating The Same

机译:每次点击付费广告系列的关键字出价的自动计算及其方法和系统

摘要

Systems and methods for utilizing machine learning technology to automatically calculate optimal maximum bids for a set of pay-per-click (PPC) keywords associated with an advertising campaign are disclosed. Embodiments include techniques for obtaining high quality training data for training machine learning models, including obtaining high quality training data despite scarcity of data for a particular campaign. Embodiments may also include PPC management systems that may be configured to manage a plurality of PPC advertising campaigns and include one or more bid calculation engines that utilize performance data from the various advertising campaigns and machine learning algorithms to automatically determine optimal base bid values and bid multipliers for each of the advertising campaigns.
机译:公开了利用机器学习技术来自动计算与广告活动相关联的一组每次点击付费(PPC)关键字的最佳最高出价的系统和方法。实施例包括用于获得用于训练机器学习模型的高质量训练数据的技术,该技术包括尽管缺乏针对特定活动的数据而获得高质量的训练数据。实施例还可以包括PPC管理系统,该PPC管理系统可以被配置为管理多个PPC广告活动,并且包括一个或多个出价计算引擎,其利用来自各种广告活动的性能数据和机器学习算法来自动确定最佳基础出价值和出价乘数。每个广告系列。

著录项

  • 公开/公告号US2016217490A1

    专利类型

  • 公开/公告日2016-07-28

    原文格式PDF

  • 申请/专利权人 DEALER DOT COM INC.;

    申请/专利号US201615004313

  • 发明设计人 HASSAN MALIK;SIMING SUN;

    申请日2016-01-22

  • 分类号G06Q30/02;G06N99/00;

  • 国家 US

  • 入库时间 2022-08-21 14:35:35

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