Big Data Create Smart Stylist? Can choose clothing for shoppers
ã€Global Internet Reports】 According to the British "Daily Mail" reported on November 16, researchers developed a neural network system that can use CGI images to create "predicted fashion" and provide people with personalized The shopping experience helps retailers predict more extensive fashion trends.
Researchers from the University of California and Adobe in the United States have developed a neural network to study what people like to wear. Using Amazon’s data, they created six categories of items for men and women. These items include shoes, tops, and pants.
The system relies on a tool called GAN. GAN consists of two neural networks, one based on Amazon data to generate a fake image, and the other to use this data to determine if the image is real. Using GAN on a retail website can help companies determine consumer preferences.
Experts say that this system only provides basic choices for consumers. If a shopper likes a blue shirt, GAN will show more styles of blue shirts. However, in the future, these two-dimensional computer images may become three-dimensional renderings that can create actual clothing.
In another study, the Amazon Lab126 team also developed a fashion data algorithm that can analyze fashion and create its own style from images. Today, many fashion retailers have begun to use social media to track and respond to fashion changes.
Earlier this year, Amazon introduced the Echo Look smart camera application. The application's Style Check feature analyzes user wear using image analysis techniques, and uses deep learning to refer to fashion experts' opinions on how to match clothes, colors, and styles to score user clothes. (Internship Compilation: Zhang Yan Reviewer: Li Zongze)
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