Deep Automated Mechanism Design for Integrating Ad Auction and Allocation in Feed - T1.3

Explore a cutting-edge conference talk on deep automated mechanism design for integrating ad auction and allocation in feed systems. Delve into the innovative research presented by authors Xuejian Li, Ze Wang, Bingqi Zhu, Fei He, Yongkang Wang, and Xingxing Wang at the Association for Computing Machinery (ACM) SIGIR 2024 conference. In this 14-minute presentation, learn about the latest advancements in click-through rate (CTR) prediction, ad models, and click models as they relate to the integration of ad auctions and allocation in feed systems. Gain insights into how deep learning techniques are being applied to automate mechanism design, potentially revolutionizing the way ads are auctioned and allocated in digital feeds.

SIGIR 2024 T1.3 [fp] Deep Automated Mechanism Design for Integrating Ad Auction & Allocation in Feed