Intelligent clothing recommendation method and system based on user emotion demand

Abstract

The invention discloses an intelligent clothing recommendation method and system based on user emotion demands, and the method comprises the following specific steps: (1) obtaining clothing sample pictures, building a sample library, extracting clothing attribute elements, and obtaining the perceptual demands of a user for clothing; (2) constructing a user perceptual space according to the obtained perceptual demand by adopting a perceptual engineering theory system, classifying clothing attributes according to a Kano model, and constructing a clothing product attribute space; (3) synthesizing the user perceptual image space and the clothing product attribute space, and establishing a mapping relation between perceptual images and clothing product attributes; and (4) constructing a clothing product classification and regression tree model by adopting a decision tree algorithm, and outputting and recommending clothing products and combinations meeting the perceptual requirements of the user according to the constructed model. According to the invention, appropriate clothes can be accurately and intelligently recommended to the user according to the emotion demand of the user.

Description

technical field [0001] The invention relates to the technical field of clothing recommendation, in particular to a method and system for intelligent clothing recommendation based on user emotional needs. Background technique [0002] Nowadays, modern consumption has entered the era of "spiritual consumption". As an important medium for expressing individuality and reflecting identity, consumers' demand for clothing is no longer just a basic wearing function, but an aesthetic that expects to obtain higher value in clothing. Experience and emotional fulfillment. However, there are many styles and categories of clothing, and consumers often need to spend a lot of time and energy to search for clothing products that meet their emotional needs and aesthetic experience. They do not receive professional, fast and accurate service of recommending clothing products, which seriously affects the consumption of clothing products. experience. [0003] The prior art provides relevant so...

AI Technical Summary

Problems solved by technology

However, there are many styles and categories of clothing, and consumers often need to spend a lot of time and energy searching for clothing products that meet their emotional needs and aesthetic experience. They do not receive professional, fast, and accurate recommendation services for clothing products, which seriously affects the consumption of clothing products. experience

[0003] The existing technology provides related solutions to the clothing recommendation problem. For example, the invention patent CN109284666A discloses a clothing recommendation scheme based on image recognition and big data, the invention patent CN112508114A discloses an intelligent clothing recommendation system and method, and the invention patent CN106649300A discloses A cloud platform-based intelligent clothing matching recommendation method and system, etc., combined with image recognition, big data, platform and other technologies to realize the invention, but there is no clothing recommendation technology from the perspective of user emotional needs in the existing inventions

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