Automated Fashion Size Normalization

Abstract

The ability to accurately predict the fit of fashion items and recommend the correct size is key to reducing merchandise returns in e-commerce. A critical prerequisite of fit prediction is "size normalization", the mapping of product sizes across brands to a common space in which sizes can be compared. At present, size normalization is usually a time-consuming manual process. We propose a method to automate size normalization through the use of sales data. The size mappings generated from our automated approaches are comparable to human-generated mappings. CCS CONCEPTS• Information systems → Recommender systems.