Fashion matching algorithm solution

Abstract

In one example embodiment, a system and method is illustrated that includes receiving an item choice including a fashion item. The system and method also includes matching the fashion item with an additional fashion item selected from a style matrix, the matching based upon an attribute. Further, the system and method includes transmitting the additional fashion item as part of an outfit match set. Moreover, the system and method includes selecting the fashion item from a digital closet. The system and method includes processing the fashion item to build an attribute association matrix. In addition, the system and method includes comparing the attribute association matrix and the style matrix to determine a match of the fashion item and the additional item.

1 . A computer implemented method comprising:
 receiving an item choice including a fashion item;   matching the fashion item with an additional fashion item selected from a style matrix, the matching based upon an attribute; and   transmitting the additional fashion item as part of an outfit match set.   
     
     
         2 . The computer implemented method of  claim 1 , further comprising:
 selecting the fashion item from a digital closet;   processing the fashion item to build an attribute association matrix; and   comparing the attribute association matrix and the style matrix to determine a match of the fashion item and the additional item.   
     
     
         3 . The computer implemented method of  claim 1 , wherein the style matrix is generated from an attribute association matrix that includes the fashion item. 
     
     
         4 . The computer implemented method of  claim 1 , wherein the style matrix is generated through a threshold function that finds a difference between a first attribute association matrix and a second attribute association matrix, where this difference is less than or equal to a threshold value. 
     
     
         5 . The computer implemented method of  claim 4 , wherein the first and second attribute association matrices is included in an input layer of a neural network, and the style matrix is included in a computational layer of the neural network. 
     
     
         6 . The computer implemented method of  claim 1 , further comprising filtering the fashion item and the additional fashion item using a filter that includes at least one of a color-to-color association filter, a price-to-price association filter, or a fabric-to-fabric association filter. 
     
     
         7 . The computer implemented method of  claim 6 , wherein the filtering is conducted through a weighted link in a neural network. 
     
     
         8 . The computer implemented method of  claim 1 , further comprising:
 matching the fashion item and the additional fashion item through comparing an image of the fashion item and an additional image of the additional fashion item;   transforming the images into a same position as an association of the images; and   training a neural network to recognize the association of the images.   
     
     
         9 . The computer implemented method of  claim 1 , further comprising generating a prompt to purchase the additional fashion item. 
     
     
         10 . A computer system comprising:
 a receiver to receive an item choice including a fashion item;   a matching engine to execute an algorithm to match the fashion item with an additional fashion item selected from a style matrix, the matching based upon an attribute; and   a transmitter to transmit the additional fashion item as part of an outfit match set.   
     
     
         11 . The computer system of  claim 10 , further comprising:
 a selection engine to select the fashion item from a digital closet;   a processor to process the fashion item to build an attribute association matrix; and   a comparison engine to compare the attribute association matrix and the style matrix to determine a match of the fashion item and the additional item.   
     
     
         12 . The computer system of  claim 10 , wherein the style matrix is generated from an attribute association matrix that includes the fashion item. 
     
     
         13 . The computer system of  claim 10 , wherein the style matrix is generated through a threshold function that finds a difference between a first attribute association matrix and a second attribute association matrix, where this difference is less than or equal to a threshold value. 
     
     
         14 . The computer system of  claim 13 , wherein the first and second attribute association matrices is included in an input layer of a neural network, and the style matrix is included in a computational layer of the neural network. 
     
     
         15 . The computer system of  claim 10 , further comprising a filter to filter the fashion item and the additional fashion item based upon a fashion item attribute. 
     
     
         16 . The computer system of  claim 15 , wherein the filter is a weighted link in a neural network. 
     
     
         17 . The computer system of  claim 10 , further comprising:
 an additional matching engine to match the fashion item and the additional fashion item through comparing an image of the fashion item and an additional image of the additional fashion item;   a transformation engine to transform the images into a same position as an association of the images; and   a training engine to train a neural network to recognize the association of the images.   
     
     
         18 . The computer system of  claim 10 , further comprising a prompt generation engine to generate a prompt to purchase the additional fashion item. 
     
     
         19 . The computer system of  claim 10 , wherein the computer system is communicatively coupled to another computer system that includes at least one of a computer system, a cell phone, Personal Digital Assistant (PDA), or a Kiosk. 
     
     
         20 . A machine-readable medium comprising instructions, which when implemented by one or more machines, cause the one or more machines to perform the following operations:
 receive an item choice including a fashion item;   match the fashion item with an additional fashion item selected from a style matrix, the matching based upon an attribute; and   transmit the additional fashion item as part of an outfit match set.