METHOD AND BUSINESS PROCESS TO MAINTAIN PRIVACY IN DISTRIBUTED RECOMMENDATION SYSTEMS

Patent №

US 6,968,334

Granted

2005-11-22

Filed 2001

Owner

NOKIA CORPORATION

Lab

AI components

4

ml · nlp · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09854635

A distributed recommendation system and method are disclosed that provides greater privacy for the user's private data. The method distributes the tasks of a recommendation system between wireless devices and network servers, so as to protect the privacy of end users. The system and method provide greater privacy for context-sensitive, adaptive, user interfaces for Internet service usage by wireless devices. The users wireless device sends a current context-activity pair to a network server in response to either the user's selection of an activity or automatically. The server then responds an appropriate recommendation. Recommendations received from the server by the wireless device are filtered to identify new or significant information. As the system makes new recommendations to users in response to context-activity pairs submitted by their wireless devices, the server gathers the new context-activity pairs and recommendations and adds them to its context-activity pair database.

Machine learningNatural languageKnowledge representationAI hardwareH04M 3/493G01C 21/20G06F 16/9535G06F 16/9537G06F 16/9577G06F 21/51G06F 21/52G06F 21/6245+15 more

AI classification

AI hardware0.93
Knowledge representation0.88
Machine learning0.54
Natural language0.53
Planning0.34
Evolutionary computation0.00
Vision0.00
Speech0.00

Ownership

NOKIA CORPORATION

assignment · 121060774

Assignors

SALMENKAITA, JUKKA-PEKKA, SORVARI, ANTTI

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

© 2026 NYSGPT2525 LLC