Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens

ArXi:2510.23410v2 Announce Type: replace Auto-bidding is crucial in facilitating online advertising by automatically providing bids for advertisers. While previous work has made great efforts to model bidding environments for better ad performance, it has limitations in generalizability across environments since these models are typically tailored for specific bidding scenarios. To this end, we approach the scenario-independent principles through a unified function that estimates the achieved effect under specific bids, such as budget consumption, gross andise volume (GMV), page views, etc.