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公开(公告)号:US11348130B2
公开(公告)日:2022-05-31
申请号:US16995530
申请日:2020-08-17
Applicant: Adobe Inc.
Inventor: Chih Hsin Hsueh , Viswanathan Swaminathan , Venkata Karthik Penikalapati , Seth Olson , Michael Schiff , Gang Wu , Daniel Pang , Alok Kothari
Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods to generate sketches for clearing-bid values and bid-success rates based on multi-dimensional targeting criteria for a digital-content campaign and dynamically determine predicted values for the digital-content campaign based on the sketches. To illustrate, the disclosed systems can use a running-average-tuple-sketch to generate tuple sketches of historical clearing-bid values and tuple sketches of historical bid-success-rates from historical auction data. Based on the tuple sketches, the disclosed systems can determine one or more of a predicted cost per quantity of impressions, a predicted number of impressions, or a predicted expenditure for the digital-content campaign—according to user-input targeting criteria and expenditure constraints.