Board Recommendation in Pinterest.
Krishna Yeswanth Kamath, Ana-Maria Popescu, James Caverlee · 2013
Abstract. In this paper we describe preliminary approaches for contentbased recommendation of Pinterest boards to users. We describe our representation and features for Pinterest boards and users, together with a supervised recommendation model. We observe that features based on latent topics lead to better performance than features based on userassigned Pinterest categories. We also find that using social signals (repins, likes, etc.) can improve recommendation quality.