How big can style be? Addressing high dimensionality for recommending with style

Diogo Goncalves, Liweu Liu, Ana Magalhães

Using embeddings as representations of products is quite commonplace in recommender systems, either by extracting the semantic embeddings of text descriptions, user sessions, colla…