Clothing Recommendation Based on Deep Learning

Abstract

Nowadays, with massive growth of e-commerce platforms, more and more consumers are buying clothes online, but consumers are often confused when choosing clothes. At this time, the clothing recommendation system acts as a bridge between consumers and stores. Through a recommendation system, it can recommend clothing that consumers are interested in, and help the store to improve turnover as well as solve many problems in people's lives. For this study, we design a deep multi-branch network based clothing recommendation system, and add channel attention for feature enhancement. We also utilize gender prediction to improve our clothing recommendation results. The effectiveness of our proposed method is verified through our experimental results.