Fashionable clothing intelligent matching and recommending method based on visual combination relation learning

A combination relationship and recommendation method technology, applied in the field of artificial intelligence, can solve the problems of inability to process new clothing products, inability to intelligently understand user clothing matching intentions and scenarios, and high cost
CN111400525AActive Publication Date: 2020-07-10UNIV OF SCI & TECH OF CHINA
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
UNIV OF SCI & TECH OF CHINA
Publication Date
2020-07-10

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Abstract

The invention discloses a fashionable garment intelligent matching and recommending method based on visual combination relation learning. According to the method, aiming at extraction of clothing visual information and modeling of multi-clothing visual compatibility and a mutual influence relationship, clothing can be intelligently matched, matching scores among the clothing are obtained, matchingcategory analysis is further assisted, missing parts in current matching can be intelligently identified, and missing single items are subjected to targeted prediction; through a model training and optimization strategy, the model can learn expert experience in a self-adaptive manner, and can intelligently generate beautiful clothes matching for a user.
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Description

technical field

[0001] The invention relates to the technical field of artificial intelligence, in particular to an intelligent matching and recommendation method for fashion clothing based on visual combination relationship learning. Background technique

[0002] Clothing is an indispensable part of people's daily life. A good set of clothing can not only improve the user's self-confidence, but also feedback the user's personality preference to a certain extent. However, in daily life, most people can match a suitable and beautiful outfit, especially for those who have no sense of beauty and related experience. At the same time, based on the learning of clothing matching relationships, it can further help the recommendation system to better recommend clothing matching solutions for users.

[0003] Most of the traditional methods are based on the generation and recommendation of clothing collocation schemes based on expert experience, but this method relies too much on huma...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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