公开(公告)号：US20240273401A1

公开(公告)日：2024-08-15

申请号：US18169011

申请日：2023-02-14

Applicant: Google LLC

Inventor： Wei Huang ,  David V. Guthrie ,  Kumar Rishabh ,  Lixue Zhang ,  Chenwei Yue

IPC: G06N20/00 ,  G06F21/62

CPC classification number: G06N20/00 ,  G06F21/6218

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning models to predict data in privacy preserving manners are described. In one aspect, a method includes receiving, from a client device of a user, a digital component request including one or more contextual signals that describe an environment in which a selected digital component will be presented. The contextual signals are provided as input to a trained machine learning model that is trained to output, based on input contextual signals, predicted data about the user. The trained machine learning model is trained using a set of aggregated data including, for each of a set of aggregation keys, aggregated data for a plurality of users having electronic resource views that match the aggregation key. The predicted data about the user is received as an output of the trained machine learning model.