Finding similar clothes based on semantic description for the purpose of fashion recommender system

Abstract

The fashion domain has been one of the most growing areas of e-commerce, hence the issue of facilitating cloth searching in fashionrelated websites becomes an important topic of research. The paper deals with measuring the similarity between items of clothing and between complete outfits, based on the semantic description prepared by users and experts according to a previously developed fashion ontology. Proposed approach deals with different types of attributes describing clothes and allows for calculating similarity between the whole outfits in a domainaware manner. Exemplary results of experiments performed on real clothing datasets are presented.