INTELLIGENT PERFORMANCE-BASED PRODUCT RECOMMENDATION SYSTEM

Patent №

US 7,809,601

Granted

2010-10-05

Filed 2001

Owner

JOHNSON & JOHNSON COMSUMER COMPANIES

+2 more

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09981516

Systems and methods of utilizing communications networks and multivariate analysis to predict or recommend optimal products from a predefined population of commercially available products are disclosed. The recommendations are based on intelligence contained in processing elements and subjective and/or objective product information received from consumers or input to the systems as part of their initial setup. The output of the systems comprise sets of products that they predict the consumer will prefer and/or perform well for the problem or concern identified by the consumer. The performance and preference predictions are a function of consumer problems and product responsiveness patterns. Objective product information is generally obtained with diagnostic instruments. Data measured with the diagnostic instruments may be communicated to the data processing portions of the invention via the Internet. The outputs of the data processing portion of the system may be presented to consumers via the Internet as well.

Machine learningNatural languageKnowledge representationPlanningAI hardwareG06Q 30/0631G06Q 30/02G06Q 30/0202G06Q 30/0254G06Q 30/0282G06Q 30/0641

AI classification

Machine learning1.00
Planning1.00
Knowledge representation1.00
AI hardware0.99
Natural language0.92
Evolutionary computation0.42
Vision0.01
Speech0.00

Ownership

JOHNSON & JOHNSON COMSUMER COMPANIES

assignment · 126660502

JOHNSON & JOHNSON CONSUMER COMPANIES

correct · 242350626

JOHNSON & JOHNSON CONSUMER INC

merger · 360410605

Assignors

SHAYA, STEVEN A., MATHESON, NEAL, SINGARAYAR, JOHN ANTHONY, KOLLIAS, NIKIFOROS, BLOOM, JEFFREY ADAM

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

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