In order to resolve some problems like clothing styles do not match the body shape for online shopping,combined with clothing aesthetics coordination,the recommendation system based-on machine learning method for men's shirt personalized customization was proposed.In this method,the consumer's needs and men's shirt attributes were investigated and categorized,a relationship model between consumer and clothing attributes was established by integrating the aesthetics knowledge of clothing coordination.A men's shirt recommendation models based on different machine learning method were established and evaluated,so the recommended model with good performance can be obtained.This method provides a solution for the realization of clothing mass customization in the era of Internet.
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