Before revision:  In this work, we first deploy a prototype  recommender system on Taobao display advertising platform for constant bid and crowd optimization. Then, we propose a novel recommender system for dynamic bidding strategy recommendation, which models the advertiser' s strategy recommendation problem as a contextual bandit problem .
After revision:  In this work, we first deploy a prototype recommender system on Taobao display advertising platform , recommending bid prices and targeted users to advertisers. We further augment this prototype system by directly revealing the advertising performance, and then infer the advertisers' marketing objectives through their adoptions of different recommending advertising performance .