Reserve Price

Reserve price optimization in auctions aims to maximize seller revenue while considering various factors like bidder behavior and user experience. Current research focuses on developing dynamic reserve price mechanisms, often employing machine learning techniques such as reinforcement learning and conformal prediction to account for uncertainty in bidder valuations and market dynamics. These advancements are leading to more efficient and robust auction designs, with practical applications already seen in online advertising platforms and impacting revenue generation and user satisfaction.