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Systems and Methods for Predicting a Degree of Relevance Between Digital Ads and Webpage Content

机译:预测数字广告和网页内容之间相关程度的系统和方法

摘要

Systems and methods for predicting a degree of relevance between a set of candidate digital ads and webpage content are disclosed. Generally, an ad provider receives a digital ad request associated with webpage content. The ad provider identifies a set of candidate digital ads that may be served in response to the digital ad request. A relevance module extracts a set of features from the set of candidate digital ads and the webpage content, and determines a degree of relevance between the set of candidate digital ads and the webpage content based on a prediction model and the extracted set of features. If the relevance module determines the set of candidate digital ads is relevant to the webpage content, the ad provider may serve one or more digital ads from the set of candidate digital ads in response to the received digital ad request.
机译:公开了用于预测一组候选数字广告和网页内容之间的相关程度的系统和方法。通常,广告提供者接收与网页内容相关联的数字广告请求。广告提供者识别可以响应于数字广告请求而被提供的一组候选数字广告。相关性模块从候选数字广告集合和网页内容中提取特征集,并基于预测模型和提取的特征集确定候选数字广告集合和网页内容之间的相关度。如果相关性模块确定候选数字广告集合与网页内容相关,则广告提供者可以响应于接收到的数字广告请求,从候选数字广告集合中投放一个或多个数字广告。

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