Feed Ranking

Feed ranking, the process of ordering items (e.g., news articles, products, ads) for presentation to users, aims to optimize user engagement and platform performance. Current research emphasizes improving model architectures (like transformers and deep convolutional networks) and addressing challenges such as data sparsity, cold starts, and the need for real-time personalization. These advancements are crucial for enhancing recommender systems across various applications, from e-commerce and social media to job search and advertising, leading to improved user experience and increased revenue for platforms.