This repository compiles classic and contemporary papers on recommendation systems, organized by topics such as candidate generation, re-ranking, and ranking optimization. It includes resources on multi-task learning, reinforcement learning, and deep learning approaches applied to recommendation, serving as a knowledge base for researchers and practitioners in the field.