Academic papers on ranking algorithms

Academic papers on ranking algorithms explore how to order or prioritize items, such as search results or recommendations, based on relevance or importance. These studies develop mathematical models and methods to improve accuracy, efficiency, and fairness in ranking. They consider factors like user intent, item features, and historical data. The goal is to create systems that present the most useful or relevant items first, enhancing user experience. Such research often applies to search engines, online marketplaces, and social media, helping ensure users see the most relevant content quickly and effectively.