> You could initially present a user some images to assess it's preferences and use some recommender system (collaborative filtering), a la Netflix. You would

> You could initially present a user some images to assess it's preferences and use some recommender system (collaborative filtering), a la Netflix. You would have to tag the hell out of these photos, right? Disambiguating preferences is the challenge -- the user may have liked images #3 and #7, but why? Specific items, or the color palette, or the silhouette, or just the model? A post by Chicisimo on the front page addresses these hurdles [1]. I've also seen some of these image recognition apps in action -- they pick up on patterns and color very well, but struggled with silhouette. [1] https://hackernoon.com/how-we-grew-from-0-to-4-million-women-on-our-fashion-app-with-a-vertical-machine-learning-approach-f8b7fc0a89d7 https://hackernoon.com/how-we-grew-from-0-to-4-million-women...