A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings

Shib Dasgupta, Michael Boratko, Andrew McCallum

Personalized item recommendation typically suffers from data sparsity, which is most often addressed by learning vector representations of users and items via low-rank matrix facto…