This repository aggregates industry classics and cutting-edge research papers in recommendation, advertising, and search systems. It covers topics across the full ranking pipeline including recall, pre-rank, ranking, and re-ranking, as well as advanced techniques such as multi-task learning, multi-modal modeling, reinforcement learning, causal inference, and debiasing. Papers are organized by topic and marked with metadata including publication year, institution, and model names.