WhatFits- Deep Learning for Clothing Collocation

Shengqiong Yuan, Luo Zhong, Lin Li
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Abstract

With the great development of 5G technology research and the constant development of the network shopping, clothing classification and clothing collocation recommendation based on clothing pictures can provide advices to the customer and help businesses to promote sales. Deep learning is a latest research achievement in the field of machine learning, it has a strong ability of image modeling and image representation, which makes breakthrough progress in the field of image processing. Based on image data of dressing commodities provided by Taobao.com, as well as the text data of both customers' historical behaviors and dressing outfits generated by fashion experts, we design and implement clothing collocation and recommendation through relevant technologies of data mining and deep learning.
什么适合-服装搭配的深度学习
随着5G技术研究的大发展和网络购物的不断发展,基于服装图片的服装分类和服装搭配推荐可以为顾客提供建议,帮助商家促进销售。深度学习是机器学习领域的最新研究成果,它具有较强的图像建模和图像表示能力,在图像处理领域取得突破性进展。我们基于淘宝网提供的穿衣商品图片数据,以及时尚专家生成的顾客历史行为和穿衣服装的文本数据,通过数据挖掘和深度学习的相关技术,设计并实现服装搭配和推荐。
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