Jeongyoung Lee

A Masked Mixture Model for Compact and Accurate Matrix Factorization

Matrix factorization (MF) is a widely used backbone for modeling large relational data due to its simplicity, scalability, and interpretability. However, classical MF uses a single shared latent basis, which can be overly restrictive for heterogeneous matrices. In this paper, we propose Masked Mixture Factorization (MM...