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1. 发明申请

US20140379460A1 REAL-TIME UPDATES TO DIGITAL MARKETING FORECAST MODELS 审中-公开
标题翻译：数字营销预测模型的实时更新
公开(公告)号：US20140379460A1
公开(公告)日：2014-12-25
申请号：US13925138
申请日：2013-06-24
申请人： Adobe Systems Incorporated
发明人： Andrew I. Schein
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0244
摘要： Techniques are disclosed for automatically creating or updating predictive models, including digital marketing forecast models. A predictive model is updated in real-time or near real-time using a stochastic gradient descent optimization method based on one or more predictive values associated with an advertising impression that is won in an online advertising auction. Each predictive value, which is obtained from the predictive model, is encoded as an argument in a uniform resource locator (URL) corresponding to the ad impression being auctioned. If and when the ad impression is won, the predictive value(s) and other information can be tracked and immediately available for updating the model using information encoded in the URL.
摘要翻译：公开了用于自动创建或更新预测模型的技术，包括数字营销预测模型。使用基于与在线广告拍卖中赢得的广告印象相关联的一个或多个预测值的随机梯度下降优化方法，实时或接近实时地更新预测模型。从预测模型获得的每个预测值被编码为与正在拍卖的广告印象相对应的统一资源定位符（URL）中的参数。如果广告展示被赢得，则可以跟踪预测值和其他信息，并立即可用于使用URL中编码的信息更新模型。

2. 发明申请

US20140236731A1 Using Interaction Data of Application Users to Target a Social-Networking Advertisement 审中-公开
标题翻译：使用应用程序用户的交互数据来定位社交网络广告
公开(公告)号：US20140236731A1
公开(公告)日：2014-08-21
申请号：US13772982
申请日：2013-02-21
申请人： ADOBE SYSTEMS INCORPORATED
发明人： Andrew I. Schein , Abhishek Pani
IPC分类号： G06Q30/02 , G06Q50/00
CPC分类号： G06Q30/0269 , G06Q50/01
摘要： Techniques for using interaction data of application users to target a social-networking advertisement are described herein, as well as other techniques. Interaction data of application users is received through applications associated with the social-networking platform. This interaction data can provide additional information about users to better enable marketers to target users of a social-networking platform. This improved targeting potentially saves advertising resources, increases effectiveness of advertisements, or improves users' impressions of a maker or brand associated with the advertisement.
摘要翻译：本文描述了使用应用用户的交互数据来定位社交网络广告的技术以及其他技术。通过与社交网络平台相关的应用程序接收应用用户的交互数据。该交互数据可以提供有关用户的更多信息，以更好地使营销人员能够针对社交网络平台的用户。这种改进的定位可能会节省广告资源，提高广告的有效性，或提高用户对与广告相关联的制造商或品牌的印象。

3. 发明申请

US20140149205A1 Method and Apparatus for an Online Advertising Predictive Model with Censored Data 审中-公开
标题翻译：用于具有检测数据的在线广告预测模型的方法和装置
公开(公告)号：US20140149205A1
公开(公告)日：2014-05-29
申请号：US13689298
申请日：2012-11-29
申请人： ADOBE SYSTEMS INCORPORATED
发明人： Zhenyu Yan , Andrew I. Schein
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0244
摘要： A censored observation for an online advertising campaign may be received for a first given time period. It may be determined that an amount spent on the online advertising campaign met a budget constraint such that the online advertising campaign was interrupted during the first given time period. Based on the received censored observation and one or more campaign parameters for the first given time period, a predictive model for predicting the result of a new online advertising campaign may be generated.
摘要翻译：对于在线广告活动的审查观察可以在第一给定时间段内被接收。可以确定，在线广告活动上花费的金额符合预算约束，使得在第一给定时间段内在线广告活动被中断。基于收到的审查观察和第一给定时间段的一个或多个活动参数，可以生成用于预测新的在线广告活动的结果的预测模型。

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