Adobe Inc.
Machine learning assisted target segment audience generation
Last updated:
Abstract:
A segment targeting system generates target segment audiences for delivery of digital content. The segment targeting system generates hit recency and frequency summary data, which identifies hit recency and hit frequency for each of multiple cookie identifiers that satisfied a metric in at least one of multiple segments and in a time range in user specified target segment audience criteria. At least a portion of this summary data is used to train a machine learning system. The machine learning system can include multiple machine learning models, with each model being associated with a different false positive to false negative penalty ratio modelling parameter when learning recency and frequency combinations of hits on webpages in each segment that work well to separate cookie identifiers that satisfied a metric for an offering in a target segment and cookie identifiers that satisfied a metric for an offering in other segments.
Utility
10 May 2019
9 Mar 2021