FASHION MATCHING TECHNOLOGY PATENTS

PATENTED AI ALGORITHM SOLUTIONS FOR PERSONALIZED STYLING

US Patent #8,103,551 and #8,249,941

This IP Asset Portfolio Provides Broad Claims, Market Ownership & Competitive Leadership Positions in E-Commerce, Personalized Fashion Matching, & Fashion Recommendations. Providing Strong Leadership for Fashion Matching with Neural Networks and Artificial Intelligence.

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PATENTED AI ALGORITHM SOLUTIONS FOR PERSONALIZED STYLING

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FASHION MATCHING TECHNOLOGY PATENTS

The patented systems, methods and technologies are directly correlated and relevant for any company operating in the business of personally matching fashion styles for users over the Internet, through private servers, or via other electronic methods that include style-matrix, or a style-matrix supported by machine learning.

A system and method is shown for fashion matching that interprets a user's style or fashion and finds a match given a set of fashion items. A fashion is a style of dress, while a fashion item includes an article of clothing, jewelry, or anything that is used to denote a style of dress. A user includes a customer of a business that transacts in fashion items. Further, a user may include an expert such as a fashion professional, where this fashion professional includes a fashion designer, a personal shopper, a personal stylist, a journalist who reports on fashion, or some other suitable person.

Matching is based, in part, upon an attribute of a fashion item. Attributes include color, fabric, cut, designer, size, time of creation, and other suitable attributes used in denoting a fashion. In one example embodiment, matching includes receiving input in the form of a particular fashion item and based upon this fashion item suggesting an additional fashion item based upon matching attributes.

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Patent #1 - 8,103,551

A fashion matching computer system comprising:

  • a receiver to receive a fashion item choice;
  • a memory storing a first fashion item, attribute-association matrix and a second fashion item, attribute-association matrix;
  • a matching engine to match the fashion item with an additional fashion item based on an attribute of the fashion item and
  • a style matrix generated through a threshold function that finds a difference between the first attribute association matrix and the second attribute association matrix, where this difference is less than or equal to a threshold value, wherein the style matrix includes items that are selectable using the matching engine;
  • and a transmitter to output the additional fashion item as part of an outfit.

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Patent #2 - 8,249,941

A computer implemented method that is implemented on a server comprising:

  • receiving an item choice, using a receiver, that includes a fashion item;
  • storing a style matrix from a neural network computer system, the style matrix 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, and the neural network computer system to include a processor to train and a first memory coupled to the processor to train;
  • Matching the fashion item with an additional fashion item, using a matching engine including a processor to match and a second memory coupled to the processor to match, the additional fashion item selected from the style matrix, and the matching based upon an attribute of the fashion item; and
  • transmitting, using a transmitter, the additional fashion item as part of an outfit match set.

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Fashion Matching Markets, Sectors & Patent Categories

Fashion Matching Markets, Sectors & Patent Categories

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Apparel matching for home, in-store, and e-commerce

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Personal Styling Services and Automation

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Household goods, furniture, and interior design

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Personal Shopping Assistant Services for fashion or decorating

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Valuable for Data Processing; Electronic Shopping, Shopping Interface, Graphical Representation of Item and Shopper, Item Recommendation, Artificial Intelligence, E-Commerce

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