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Aug 2026
A Masked Mixture Model for Compact and Accurate Matrix Factorization
This paper proposes Masked Mixture Factorization (MMF), a lightweight yet effective MF variant that adapts to heterogeneous interactions through instance-wise latent gating, substantially improving accuracy under the same parameter budget while retaining MF's scalability.
Yong-chan Park, Jeongyoung Lee, Seungjoo Lee et al.
· Proceedings of the 32nd ACM... · 0 citations