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    • 2. 发明授权
    • System and method for managing and optimizing advertising campaigns managed on the internet
    • 用于管理和优化在互联网上管理的广告活动的系统和方法
    • US08374912B2
    • 2013-02-12
    • US12750352
    • 2010-03-30
    • Sandrine ParozRichard CoutureMartin MaillouxMartin LeSauteurMarc PoirierBenoit Allaire
    • Sandrine ParozRichard CoutureMartin MaillouxMartin LeSauteurMarc PoirierBenoit Allaire
    • G06Q30/00
    • G06Q90/00G06Q30/02G06Q30/0256G06Q30/0275
    • The system of the present invention is used to optimize the returns of advertising campaigns on the internet. The system allows to create portfolios of keywords and to optimize these portfolios. Moreover, the system allows to classify the keywords in the portfolios according to their past data and to agitate the keywords which held a stagnant position over a pre-set period of time.The system support different implementations of the keyword classification in portfolios, different implementations of keyword bids agitation and different implementations of optimization. The various implementations can meet the specific aspects of different industries and/or the distinctive optimization approach of different agencies.The system can leverage the cloud computing whereby shared data, process and information are provided to computers and other devices on-demand. The delivery model involves the provision of dynamically scalable and virtualized resources as a service over the Internet. Some or all of the system components can be executed in the cloud through an on-demand instantiation of the resources required to perform the task.
    • 本发明的系统用于优化互联网广告活动的回报。 该系统允许创建关键字组合并优化这些投资组合。 此外,该系统允许根据其过去的数据对投资组合中的关键词进行分类,并且在预设的时间段内搅动保持停滞的关键词。 系统支持关键字分类在投资组合中的不同实现,关键字出价激励的不同实现以及优化的不同实现。 各种实现可以满足不同行业的特定方面和/或不同机构的独特优化方法。 该系统可以利用云计算,从而根据需要将共享数据,过程和信息提供给计算机和其他设备。 交付模型涉及通过互联网提供动态可扩展和虚拟化的资源作为服务。 部分或全部系统组件可以通过对执行任务所需资源的按需实例化在云中执行。
    • 4. 发明申请
    • System and Method to Predict the Performance of Keywords for Advertising Campaigns Managed on the Internet
    • 用于预测互联网上管理的广告活动关键词性能的系统和方法
    • US20120084141A1
    • 2012-04-05
    • US13316854
    • 2011-12-12
    • Patrick QuinnSandrine ParozRichard CoutureMarc Poirier
    • Patrick QuinnSandrine ParozRichard CoutureMarc Poirier
    • G06Q30/02
    • G06Q30/0244
    • Historical data from keywords in a pay-per-click internet advertising campaign are used to predict performance of other keywords with the goal of optimizing a keyword portfolio to maximize returns from the advertising campaign. A computing system receives the keyword portfolio for the advertising campaign, and classifies the keywords based on whether or not sufficient historical data exist to generate acceptable predictions about the performance of the keywords in the advertising campaign. Historical data are then used to make performance predictions for keywords having sufficient data. For keywords without sufficient historical data, generic prediction functions are created based on a generic change rate obtained from keywords with sufficient historical data. These generic prediction functions are then used to predict keyword performance in the advertising campaign. Predictions for keywords with and without sufficient historical data are then used to optimize the advertising campaign.
    • 用于每次点击付费的互联网广告活动中的关键字的历史数据用于预测其他关键字的效果,目的是优化关键字组合,以最大限度地提高广告系列的收益。 计算系统接收广告活动的关键词组合,并且基于是否存在足够的历史数据来生成关于广告活动中的关键字的表现的可接受的预测的关键词。 然后,历史数据用于对具有足够数据的关键字进行性能预测。 对于没有足够历史数据的关键字,基于从具有足够历史数据的关键字获得的通用变化率创建通用预测函数。 然后,这些通用预测函数用于预测广告活动中的关键字表现。 然后,使用具有和不具有足够历史数据的关键字的预测来优化广告活动。