This repository documents learning of classic recommendation system algorithms and techniques, covering the typical industrial pipeline of recall, rough ranking, precise ranking, and re-ranking. It includes code implementations alongside theoretical explanations, targeting learners studying recommendation systems. The content draws from public datasets like MovieLens and aligns with CSDN blog posts for algorithmic principles.