# Matrix Factorization

> Source: https://sukruyusufkaya.com/en/glossary/matrix-factorization
> Updated: 2026-05-13T19:59:29.418Z
> Type: glossary
> Category: makine-ogrenmesi
**TLDR:** A powerful recommendation approach that generates suggestions by decomposing the user-item interaction matrix into latent factors.

<p>Matrix factorization is a highly effective technique for recommendation systems, especially when large user-item interaction datasets are available. Its goal is to represent users and items in a low-dimensional latent factor space and learn preference structure from those embeddings. This approach has delivered strong results in both competitions and production systems for many years. However, cold-start issues for new users and new items remain a significant challenge.</p>