SYSTEM AND METHOD FOR UN-BIASING USER PERSONALIZATIONS AND RECOMMENDATIONS

Patent №

US 11,615,158

Granted

2023-03-28

Filed 2021

Owner

VERIZON PATENT AND LICENSING INC.

Lab

AI components

4

ml · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17406199

Disclosed are systems and methods for an electronic framework that enables un-biasing of personalizations for users. The disclosed framework provides controls that can enable users to selectively escape from previously conceived notions of a user's preferred tastes and/or interests. Upon a user requesting content, the disclosed framework can analyze the type of request as well as the modeled behavior and preferences of the user, and automatically un-bias or depersonalize content for the user, thereby availing the user to a broader range of content from a larger pool of content then previously made available to the user.

Machine learningKnowledge representationPlanningAI hardwareG06F 16/9535G06F 3/0482G06F 3/0484G06F 16/9532G06F 16/9538G06N 20/00

AI classification

Knowledge representation1.00
AI hardware1.00
Planning0.95
Machine learning0.61
Vision0.02
Evolutionary computation0.00
Natural language0.00
Speech0.00

Ownership

VERIZON PATENT AND LICENSING INC.

assignment · 572250635

Assignors

SRINIVASARAGHAVAN, HARIPRIYA

On an employer assignment, the assignors are typically the inventors.

From the same owner

© 2026 NYSGPT2525 LLC