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Ad copy quality detection and scoring

机译:广告文案质量检测和评分

摘要

Methods, systems, and computer-readable media for evaluating the quality of text within online advertisements using output from a language model are provided. The output from the language model may be used by a machine-learning algorithm to generate a quality score for an individual advertisement. The quality score may be used to filter out advertisements with poor text quality or to tax or penalize an advertisement within an online auction. The ad quality scores may also be used to rank or score advertisers that submit the ads. In one embodiment, the advertiser's quality score is combined with an individual ad's quality score to create a final score, which is used to evaluate the advertisement. The advertiser rank/score and ad quality score may be communicated to an advertiser as advertiser feedback.
机译:提供了用于使用来自语言模型的输出来评估在线广告内的文本的质量的方法,系统和计算机可读介质。机器学习算法可以使用语言模型的输出来生成单个广告的质量得分。质量得分可用于过滤出质量较差的广告,或对在线拍卖中的广告征税或罚款。广告质量分数还可用于对提交广告的广告商进行排名或评分。在一个实施例中,将广告商的质量得分与单个广告的质量得分结合以创建最终得分,该最终得分用于评估广告。广告商排名/分数和广告质量分数可以作为广告商反馈被传达给广告商。

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