H-M-Personalized-Fashion-Recommendations
In this competition, H&M Group invited us to develop product recommendations based on data from previous transactions, as well as from customer and product meta data. The available meta data spans from simple data, such as garment type and customer age, to text data from product descriptions, to image data from garment images.