We refer to user created outfit as positive outfit. We also created a set of neutral outfits for each user by randomly mixing the tops, bottoms and shoes. For each user, we split the user created outfits and neutral outfits into three groups, i.e. the training, validation, and testing sets.
So they tried to turn this into a supervised problem by creating a dataset of “combination created by a person” and “combination selected randomly”. Seems a little rigid.
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