Research and Implementation of Personalized Clothing Recommendation Algorithm
Qianqian Deng, Ruomei Wang, Zixiao Gong, Guifeng Zheng, Zhuo Su · 2018
Research of the clothing recommendation algorithm is important that can be used to provide a more efficient method for consumers to select their expected clothing. Considering the characteristics of clothing product, in this paper, a personalized clothing recommendation algorithm based on fine-grained attributes is reported. In this method, the fine-grained attributes of the clothing are established based on clothing image. And a personalized clothing attributes preference model for each user combining with the fine-grained attributes of the clothing and personal parameters is built. This method is used in an application system based on client/server framework and a mobile phone software based on the Android platform.