Machine implemented virtual health and beauty system

Patent metadata

Field	Value
Publication number	US-2019213226-A1
Application number	US-201916241401-A
Country	US
Kind code	A1
Filing date	Jan 7, 2019
Priority date	Jan 5, 2018
Publication date	Jul 11, 2019
Grant date	—

Abstract

A system is provided that includes one or more memory circuits configured to store a database. The system further includes one or more processing circuits configured to: accept data from a user indicative of a health or beauty state thereof; and provide a regimen recommendation based on machine learning over the database and the accepted data.

First claim

1 . A system comprising:
one or more memory circuits configured to store a database; one or more processing circuits configured to:
accept data from a user indicative of a health or beauty state thereof; and
provide a regimen recommendation based on machine learning over the database and the accepted data.

2 . The system of claim 1 , wherein the processing circuits are further configured to provide a skin care diagnosis to the user based on the machine learning over the database and the accepted data.

3 . The system of claim 1 , wherein the processing circuits are further configured to:
accept feedback data from the user indicative of the efficacy of the regimen recommendation; and modify the regimen recommendation in accordance with the feedback data.

4 . The system of claim 3 , wherein the memory is further configured to store at least one machine learning model upon which the regimen recommendation is based; and
the processing circuits are further configured to: update the machine learning model based on the accepted feedback data.

5 . The system of claim 1 further comprising one or more output devices selectively coupled to the processing circuits to configure a product fabrication based on the regimen recommendation.

6 . A method comprising:
accepting data from a user indicative of a health or beauty state thereof; and providing a regimen recommendation based on machine learning over a database and the accepted data.

7 . The method of claim 1 further comprising providing a skin care diagnosis to the user based on the machine learning over the database and the accepted data.

8 . The method of claim 1 further comprising:
accepting feedback data from the user indicative of the efficacy of the regimen recommendation; and
modifying the regimen recommendation in accordance with the feedback data.

9 . The method of claim 3 further comprising
storing at least one machine learning model upon which the regimen recommendation is based; and
updating the machine learning model based on the accepted feedback data.

10 . The method of claim 1 further comprising configuring a product fabrication based on the regimen recommendation.

Assignees

• Oreal

Inventors

• Ludwinski Celia
• Balooch Guive
• Pielak Ratal
• Jones Adam

Classifications

• G06N7/01

  Probabilistic graphical models, e.g. probabilistic networks · CPC title

• G06N3/045

  Combinations of networks · CPC title

• G06N5/01

  Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound · CPC title

• G16H10/60

  for patient-specific data, e.g. for electronic patient records · CPC title

• G16H20/00

  ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance · CPC title