Application Design Study of Chinese Female Makeup Recommendations

In order to help Chinese women quickly find their most suitable makeup without effort, a matching experiment between the face and makeup styles is conducted, by transferring different styles of makeup to different Chinese female faces and evaluating their facial beauty by user research and algorithms, it is found that different face styles have their corresponding and most suitable makeup styles. Thus, a neural network based algorithm is used to supervise and train the classified face style data set, through which the face style classification model is obtained. According to the face style classification model and recommendation rules, a makeup recommendation application for Chinese women based on a WeChat applet is developed, and be named as Styleme Makeup.