A Garment Suggestion Engine Based on Visual Similarity
Mehmet Göktürk, Bilal Kabakli, Hamza Yogurtcuglu · 2020
In this study, a product suggestion engine has been developed for an e-commerce site portfolio focusing on garment items. Traditional collaborative filtering methods usually lack applicability due to high turnover rates in product lists. Thus, by focusing on visual similarity using deep learning technique successful results were obtained and it has been concluded that application of this technique to real live ecommerce garment site will be suitable.