This repository aggregates papers, learning materials, and industry resources focused on computational advertising and click-through rate prediction. It covers deep learning architectures like DIEN and embedding-based approaches from major companies such as Airbnb and Alibaba, alongside optimization methods like FTRL and parallel SGD. The collection includes both paper references and links to related implementations for recommendation and advertising systems.