Large Scale Ad

Large-scale advertising research focuses on optimizing ad delivery and ranking systems to improve efficiency and user experience, primarily through advanced retrieval algorithms and machine learning models. Current research emphasizes developing explainable and robust anomaly detection methods for improved security and trust, as well as enhancing the consistency and effectiveness of multi-stage ad ranking processes using techniques like multi-task learning and multi-modal neural networks. These advancements aim to increase the relevance and effectiveness of online advertising while addressing privacy concerns and improving the overall user experience.