Board recommendation in Pinterest
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In this paper we describe preliminary approaches for content-based 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 user-assigned Pinterest categories. We also find that using social signals (re-pins, likes, etc.) can improve recommendation quality.
author list (cited authors)
Kamath, K. Y., Popescu, A. M., & Caverlee, J.
editor list (cited editors)
Berkovsky, S., Herder, E., Lops, P., & Santos, O. C.