Machine learning-based generation of target segments

US11538051B2 · kind B2 · utility

Assignee

• Adobe Inc. · US

Inventors

• Praveen Kumar Goyal · Noida, IN
• Piyush Gupta · Bound Brook Junction, US
• Nikaash Puri · New Delhi, IN
• Balaji Krishnamurthy · Noida, IN
• Arun C S Kumar · Milpitas, US
• Atul Kumar Shrivastava · Noida, IN

Key dates

• Filing date: Oct 23, 2018
• Grant date: Dec 27, 2022
• Expiry date: May 26, 2039

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04N21/812
• WIPO field: Audio-visual technology
• WIPO sector: Electrical engineering

Abstract

Techniques are described for machine learning-based generation of target segments is leveraged in a digital medium environment. A segment targeting system generates training data to train a machine learning model to predict strength of correlation between a set of users and a defined demographic. Further, a machine learning model is trained with visit statistics for the users to predict the likelihood that the users will visit a particular digital content platform. Those users with the highest predicted correlation with the defined demographic and the highest likelihood to visit the digital content platform can be selected and placed within a target segment, and digital content targeted to the defined demographic can be delivered to users in the target segment.