Recommendations based on private data using a dynamically deployed pre-filter

US11494805B2 · kind B2 · utility

Assignee

• Maplebear Inc. · US

Inventors

• Supriyo Chakraborty · White Plains, US
• Keith William Grueneberg · Hawthorne, US
• Bongjun Ko · Suneung-ri, KR
• Christian Makaya · Summit, US
• Jorge J. Ortiz · New York, US
• Swati Rallapalli · Ossining, US
• Theodoros Salonidis · College Park, US
• Rahul Urgaonkar · Shoreline, US
• Dinesh C. Verma · Fryeburg, US
• Xiping Wang · Brevard, US

Key dates

• Filing date: Feb 24, 2020
• Grant date: Nov 8, 2022
• Expiry date: Feb 24, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0255
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A method for targeted advertisement includes transmitting a pre-filter to the user device, responsive to contextual information from a user device, to determine, using a processor, one or more inferences based on physical browsing information, collected at the user device, in compliance with one or more privacy policies of the user. The method also includes receiving one or more inferences determined by the pre-filter from the user device and transmitting one or more targeted advertisements to the user device based on one or more inferences.