Adobe : personalised fashion recommendation system

Fashion recommendation systems suffer from a few core problems.

Firstly, with rapidly changing fashion trends, recommendation systems don’t usually have enough data to process and recommend items from new fashion trends.

Secondly, a lot of existing recommendation systems rely on semantic descriptions rather than visual signals to determine what’s fashionable. But there are obviously huge limitations to relying on words to ascertain fashionability.

In this patent application, Adobe reveals that it’s looking at using deep-learning methods that analyse the visuals of fashion items in order to make personalized recommendations to users.