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Interactive Apparel Coordination Recommendation System Reflecting Situation and Preference

This study proposes an apparel coordination recommendation system, which reflects the user's situation of wearing clothing and individual preference, based on the Interactive Evolutionary Computation. The proposed system is a practical method in three respects that are not found in previous studies. First, the images of the actual product were used so that the user could use in practice. Secondly, using the latest data from SNS, we generated the outfits that the system presents outfits based on the type and color of clothing that are actually paid attention. Thirdly, the subjective evaluation of the user is accumulated as an individual preference, and the outfit is presented by a simple procedure for daily use. From results of the experiments, it was confirmed that the proposed system was effective in clarifying and reconfirming the user's preference of outfits.