Recommendation System Based on Individualized Privacy Settings

Patent №

US 10,817,618

Granted

2020-10-27

Filed 2018

Owner

ADOBE SYSTEMS INCORPORATED

Lab

AI components

5

ml · vision · kr · planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16041182

In implementations of a recommendation system based on individualized privacy settings, a computing device maintains user profiles of information and recommendations associated with users of the recommendation system. The computing device includes a recommendation module that is implemented to receive a privacy level selection for a type of items corresponding to a user profile in the system. The recommendation module can determine a privacy setting for a user associated with the user profile, where the privacy setting is individualized for the user in context of the type of items with an algorithmic noise function utilized to obfuscate a proportional level of the information associated with the user and the type of items based on the received privacy level selection. The recommendation module can also generate recommendations of relevant items for the user based on the determined privacy setting as individualized for the user in context of the type of items.

AI classification

Planning1.00
Machine learning0.98
Evolutionary computation0.98
Vision0.95
Knowledge representation0.86
AI hardware0.25
Speech0.00
Natural language0.00

Ownership

ADOBE SYSTEMS INCORPORATED

assignment · 468220343

Assignors

GARG, ANKUR, SATHI, KRITIN KESAV SAI, NANDAN, KIRNESH, BURHANUDDIN, IFTIKHAR AHAMATH, PRAKASH, ADITYA

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

From the same owner

© 2026 NYSGPT2525 LLC