Fashion Styling Recommendation with Intelligent Systems: Test of an Online Platform

Integration of intelligent systems in fashion and design related field is a relatively new concept. The aim of this research was to evaluate the performance of an intelligent fashion styling recommendation system for non-standard female body shapes. As a recommender strategy, the intelligent fashion styling system employs a twostage genetic search, which recommends users fashion styles based on experts’ suggestions and user’s preferences through the system. The proposed intelligent system was tested through a web-based platform using both synthetic and real participants. In cases of synthetic participants results were promising. However, in real participant cases, results were unsatisfactory in average due to certain complications in the testing process and variety in characteristics of participants. Note that, even the average result was unsatisfactory, certain participants indicated their positive remarks for the recommendations provided by intelligent fashion styling platform to identify their expectations.