Before revision:  Online evaluations show that the  system can optimize the advertisers' advertising performance , and advertisers are willing to open the system, select and adopt the suggestions, which further increases the platform's revenue income . Simulation experiments based on Alibaba online bidding data prove that the agent can effectively optimize the  adoption rate of advertisers , and Thompson sampling can better balance exploration and exploitation to further optimize the performance of the model .
After revision:  Online evaluations show that the system can optimize the advertisers' advertising performance , and advertisers are willing to open the system, select and adopt the suggestions, which further increases the platform's revenue income . Simulation experiments based on Alibaba online bidding data show that the designed contextual bandit algorithm can effectively optimize the adoption rate of advertisers , and Thompson sampling can better balance exploration and exploitation to further optimize the performance of the model .