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

US10636056B2 · kind B2 · utility

Assignee

• International Business Machines Corporation · 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: Nov 16, 2015
• Grant date: Apr 28, 2020
• Expiry date: Jan 16, 2037

Classification

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

Abstract

Methods and systems for targeted advertisement include transmitting a pre-filter to a user device, responsive to contextual information supplied by the user device to determine 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. One or more targeted advertisements are determined, using a processor, based on the one or more inferences. The one or more targeted advertisements are transmitted to the user device.