公开(公告)号：US20240330754A1

公开(公告)日：2024-10-03

申请号：US18194501

申请日：2023-03-31

Applicant: ADOBE INC.

Inventor： Soumya UNNIKRISHNAN ,  Saina LAJEVARDI ,  Michele SAAD

IPC: G06N20/00 ,  G06N3/0455 ,  G06Q30/018 ,  G06Q30/0283 ,  G06Q30/0601

CPC classification number: G06N20/00 ,  G06N3/0455 ,  G06Q30/018 ,  G06Q30/0283 ,  G06Q30/0625 ,  G06Q30/0631

Abstract: Methods and systems are provided for using machine learning to efficiently promote eco-friendly products. In embodiments described herein, a product descriptions associated with a product is obtained. The product description includes subject matter indicating an environmental effect of the product. Thereafter, a score for the product correlated to the environmental effect of the product is generated by a machine learning model based on the product description of the product. The score is then provided for presentation to a user to indicate the correlated environmental effect of the product.