This repository aggregates influential deep learning papers organized by stage of the ranking pipeline: embedding, matching, pre-ranking, ranking, and post-ranking. It covers CTR/CVR prediction, reinforcement learning for ranking, and LLM-based relevance ranking. The collection spans foundational works like Word2vec and modern approaches, intended as a reference for researchers and engineers building industrial search and recommendation systems.