公开(公告)号：US20200226675A1

公开(公告)日：2020-07-16

申请号：US16248287

申请日：2019-01-15

Applicant: Adobe Inc.

Inventor： Saayan Mitra ,  Aritra Ghosh ,  Somdeb Sarkhel ,  Jiatong Xie

IPC: G06Q30/08 ,  G06N20/00

Abstract: The present disclosure relates to generating digital bids for providing digital content to remote client devices based on parametric bid distributions generated using a machine learning model (e.g., a mixture density network). For example, in response to identifying a digital bid request in a real-time bidding environment, the disclosed systems can utilize a trained parametric censored machine learning model to generate a parametric bid distribution. To illustrate, the disclosed systems can utilize a parametric censored, mixture density machine learning model to analyze bid request characteristics and generate a parametric, multi-modal distribution reflecting a plurality of parametric means, parametric variances, and combination weights. The disclosed systems can then utilize the parametric, multi-modal distribution to generate digital bids in response to the digital bid request in real-time (e.g., while a client device accesses digital assets corresponding to the bid request).