Recommendation systems tend to get the attention, but a personal wardrobe begins as incomplete, inconsistent and highly contextual data. Before recommendations can be useful, the product has to understand what the user owns well enough to reason about it.
This research thread looks at cold-start, category consistency, duplicate items, image quality and the difference between product-catalogue data and personal wardrobe data.