matrix factorization

Recsys underpins half of applied ML, and this question checks whether you fit the approach to data availability and hold a real answer for the cold-start problem that breaks naive systems. Here is the foundations answer.

Matrix factorization is the classic collaborative-filtering method and the conceptual seed of modern embedding-based recsys. What matters is the latent-factor idea and how it leads to two-tower/neural models.