Understanding collector profiles to recommend art
The art market is an extremely complex industry, with even more complex collectors. Our recommendations need to be good enough to convince someone to make a massive financial investment, but how do we use machine learning algorithms to re-create the emotional connection a collector has when adding a piece to their collection? In this talk, I will discuss how I went about building recommendation models at Artsy to help collectors discover and buy art they truly love.
Sarah is the Principle Data ML Lead for Artsy and a Lecturer at the Technische Universitat, Berlin. She is an experienced Data Scientist with a demonstrated history of working in art, marketing and other industries.