Interactor: Agentic RL oriented Iterative Creation for Ad Description Generation in Sponsored Search
INTERACTOR is an agentic Reinforcement Learning framework that automatically generates detailed ad descriptions for sponsored search ads. It improves upon previous methods by focusing on long-form descriptions, ensuring generated content has relevant world knowledge and strictly matches landing page details. The iterative process, guided by specialized reward models, leads to higher quality and better ad performance.