Shoes recommendation system based on clustering of 3D shoes data
Junya Matsuki, Yoshitsugu Manabe, Noriko Yata, Kenji Nomura, Hirohito · 2018 International Workshop on Advanced Image Technology (IWAIT) · 2018
There are some problems in internet shopping such as products return due to size mismatch. This problem is serious in internet shopping of shoes because wearing feeling are particularly important for shoes. So, we aim to make a shoes recommendation system using three-dimensional data of foot and shoe in order to decrease problem of size mismatch. This paper proposes a visualization method for fitting condition of foot and shoe and feature extraction method of shoe three-dimensional data. We also create a linear regression model that predicts the features of the reference shoes. Standard size table of shoe is made by applying the regression model of reference shoes to other shoes.