Fashion administration

Patent metadata

Field	Value
Publication number	US-2016189274-A1
Application number	US-201414587645-A
Country	US
Kind code	A1
Filing date	Dec 31, 2014
Priority date	Dec 31, 2014
Publication date	Jun 30, 2016
Grant date	—

Abstract

A system may include a feature detector, an information gatherer, a trend identifier, a fashion database, a preference identifier, and a recommendation engine. The feature detector may analyze images including visual data showing apparel. The feature detector may determine characteristics of the apparel. The information gatherer may identify non-visual data related to the images and may derive non-visual details related to the apparel. The trend identifier may identify defined trends embodied by the apparel based on the characteristics of the apparel. The fashion database may store and categorize fashion metrics of the apparel, including the characteristics, the defined trends, and the non-visual details related to the apparel. The preference identifier may identify fashion preferences of a customer. The recommendation engine may present a fashion recommendation to the customer based at least in part on a comparison of the fashion preferences of the customer and the fashion metrics.

First claim

What is claimed is:

1 . A system comprising:
a machine-based feature detector for analyzing images including visual data showing apparel, the feature detector configured to determine characteristics of the apparel from the visual data; a machine-based information gatherer for identifying non-visual data related to the images and deriving non-visual details related to the apparel included in the images; a machine-based trend identifier for identifying defined trends embodied by the apparel based on the characteristics of the apparel identified by the feature detector; a fashion database for storing and categorizing fashion metrics, including the characteristics of the apparel, the defined trends embodied by the apparel, and the non-visual details related to the apparel; a machine-based preference identifier for identifying fashion preferences of a customer based at least in part on a portion of the apparel associated with the customer; and a machine-based recommendation engine for presenting a fashion recommendation to the customer based at least in part on a comparison of the fashion preferences of the customer and the fashion metrics.

2 . The system of claim 1 , wherein the trend identifier identifies potential trends based at least in part on a frequency at which particular characteristics of the apparel are identified by the feature detector.

3 . The system of claim 1 , wherein the trend identifier identifies potential trends based at least in part on non-visual details related to the images from which particular characteristics of the apparel are identified by the feature detector.

4 . The system of claim 1 , wherein the trend identifier identifies potential trends based at least in part on relative weights associated with sources of the images.

5 . The system of claim 1 , wherein the trend identifier identifies potential trends and delivers to a human consultant information regarding characteristics associated with the potential trends, example images of apparel embodying the potential trends, and non-visual details related to the potential trends.

6 . The system of claim 5 , wherein the trend identifier classifies a particular potential trend as a defined trend in response to receiving verification of the particular potential trend and a name of the particular potential trend from the consultant.

7 . The system of claim 1 , further comprising a preference database for storing the fashion preferences of the customer.

8 . The system of claim 1 , wherein the fashion recommendation includes at least one article of apparel available for purchase from a marketplace.

9 . The system of claim 1 , wherein the portion of the apparel associated with the customer includes at least one of:
an article of apparel given a positive rating by the customer, an article of apparel given a negative rating by the customer, apparel worn by the customer, and apparel owned by the customer.

10 . The system of claim 9 , wherein:
apparel given a positive rating by the customer includes apparel in images related to social media associated with the customer; and apparel worn by the customer includes apparel worn by the customer in the images that include the customer.

11 . An online marketplace including the system of claim 1 .

12 . A fashion classification system comprising:
a machine-based feature detector for analyzing images including visual data showing apparel, the feature detector configured to determine characteristics of the apparel from the visual data; a machine-based information gatherer for identifying non-visual data related to the images and deriving non-visual details related to the apparel included in the images; a machine-based trend identifier for:
identifying potential trends based at least in part on a frequency at which particular characteristics of the apparel are identified by the feature detector,
delivering to a human consultant information regarding characteristics associated with the potential trends,
receiving from the human consultant verification of potential trends as defined trends, and
identifying the defined trends embodied by the apparel based on the characteristics of the apparel identified by the feature detector; and
a machine-based fashion database for storing and categorizing fashion metrics, including the characteristics of the apparel, the defined trends embodied by the apparel, and the non-visual details related to the apparel.

13 . The fashion classification system of claim 12 , wherein the trend identifier identifies potential trends based at least in part on non-visual details related to the images from which the particular characteristics of the apparel are identified by the feature detector.

14 . The fashion classification system of claim 12 , wherein the trend identifier further delivers to the human consultant example images of apparel embodying the potential trends and non-visual details related to the potential trends.

15 . A fashion recommendation system comprising:
a machine-based feature detector for analyzing images associated with a customer, the images including visual data showing apparel, the feature detector configured to determine characteristics of the apparel from the visual data; a machine-based information gatherer for identifying non-visual data related to the images and deriving non-visual details related to the apparel included in the images; a machine-based preference identifier for identifying fashion preferences of the customer based at least in part on the characteristics of the visual apparel; a preference database for storing the fashion preferences of the customer; and a machine-based recommendation engine for presenting a fashion recommendation to the customer based at least in part on a comparison of the fashion preferences of the customer and fashion metrics of apparel available for purchase from a marketplace.

16 . The fashion recommendation system of claim 15 , wherein the fashion recommendation includes at least one article of apparel available for purchase from an online marketplace associated with the system.

17 . The fashion recommendation system of claim 15 , wherein the images associated with the customer include at least one of:
an image including an article of apparel given a positive rating by the customer, an image including an article of apparel given a negative rating by the customer, an image including apparel worn by the customer, and an image including apparel owned by the customer.

18 . The fashion recommendation system of claim 17 , wherein the image including an article of apparel given a positive rating by the customer includes a social media image associated with the customer.

19 . The fashion recommendation system of claim 17 , wherein the image including apparel worn by the customer further includes the customer.

20 . An online marketplace including the fashion recommendation system of claim 17 , wherein the apparel owned by the customer includes apparel purchased by the customer from the online marketplace.

Assignees

• Ebay Inc

Inventors

• Maclaurin Matthew
• Carlson Timothy
• Sherman Corinne
• Selhorst Bria
• Ramadge David

Classifications

• G06Q10/40

  Business processes related to social networking or social networking services · CPC title

• G06Q30/0282

  Rating or review of business operators or products · CPC title

• G06Q30/0631 Primary

  Recommending goods or services · CPC title

• G06F17/30595

  Physics · mapped topic

• G06Q50/01

  Physics · mapped topic