Patent ID: 11914665
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G

Claim 0:
1. In a digital medium machine-learning model training environment for search, a method implemented by a computing device, the method comprising:
receiving, by the computing device, an input requesting generation of a preview segment from a base segment;
displaying, by the computing device in real time responsive to the input, a base accuracy/reach graph in a user interface, the displaying including:
generating base training data by sampling corresponding usage data from a base set of entities, defined by the base segment, taken from a plurality of entities included in a data lake;
training a base machine-learning model using the base training data;
generating search results, using the base machine-learning model, indicating event occurrence probabilities for the plurality of entities; and
generating the base accuracy/reach graph from the search results;

generating, by the computing device, the preview segment based on a user input specifying an amount of reach or accuracy via the base accuracy/reach graph; and
controlling, by the computing device, digital service operation of as part of an executable service platform of a service provider system based on a preview machine-learning model trained for the preview segment.