METHOD AND APPARATUS FOR RECOMMENDING BEAUTY-RELATED PRODUCTS

• US 20110016001A1
• Filed: 11/08/2007
• Published: 01/20/2011
• Est. Priority Date: 11/08/2006
• Status: Abandoned Application

• Current Assignee: 24Eight, LLC (Dolphin Entertainment, Inc.)
• Original Assignee: 24/8 LLC
• Inventors: Schieffelin, David
• Application Number:
  US12/514,223
• Publication Number:
  US 20110016001A1
• Time in Patent Office: Days
• US Class Current: 705/14.66
• CPC Class Codes: A61B 5/0059 using light, e.g. diagnosis by transillumination, diascopy, fluorescence A61B5/0093, A61B5/1455, A61B5/02416 and A61B5/0261 take precedence
• CPC Class Codes: A61B 5/1032 Determining colour for diagnostic purposes measuring colour in general G01J3/46
• CPC Class Codes: A61B 5/442 Evaluating skin mechanical properties, e.g. elasticity, hardness, texture, wrinkle assessment
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06V 40/171 Local features and components; Facial parts eye characteristics G06V40/18; Occluding parts, e.g. glasses; Geometrical relationships

Abstract

Disclosed is a method for recommending products to a potential customer, comprising obtaining an image of a customer, creating an image vector template of a customer, matching the image vector template of the customer with stored templates by local feature analysis template matching, performing skin color/texture analysis template matching process, and recommending products to the customer.

Claims

1. A method for recommending products to an individual, comprising:

obtaining an image of a individual;

creating an image vector template of a individual;

matching the image vector template of the individual with stored templates by local feature analysis template matching;

performing skin color/texture analysis template matching process; and

recommending products to the individual via an output device.

2. The method of claim 1, further comprising obtaining personal information about the individual.

3. The method of claim 2, wherein the personal information includes information about prior purchases.

4. The method of claim 2, wherein the personal information includes at least one of demographic information, geographic information, the individual'"'"'s self-assessed mood, the individual'"'"'s plans, expected environment, time of day, for the relevant future time frame.

5. A system implementing the method of claims 1-4.

6. The system of claim 5, further comprising a neural network for learning information for further customizing the recommendations for an individual.

7. A computer readable medium for causing a computer to execute the method of claims 1-4.