Generally, the present disclosure is directed to predicting whether bid data of a present ad query (e.g., the largest cost per thousand impressions provided by a bid responsive to the ad query) will satisfy a threshold (e.g., a threshold cost per thousand impressions) based on bid data from one or more previous ad queries and/or characteristics of the present ad query. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict whether bid data of an ad query will satisfy a threshold based on bid data from one or more previous ad queries and/or the present ad query.
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Liu, Bin and Zheng, Jiefu, "Allocating System Resources in Display of Advertisements", Technical Disclosure Commons, (December 06, 2017)