Towards a Practical, Budget-Oblivious Algorithm for the Adwords Problem Under Small Bids
摘要
Motivated by recent insights into the online bipartite matching problem (OBM), our goal was to extend the optimal algorithm for it, namely Ranking, all the way to the special case of adwords problem, called Small, in which bids are small compared to budgets; the latter has been of considerable practical significance in ad auctions (Mehta et al. in J. ACM (JACM) 54:22-es, 2007). This approach would yield a budget-oblivious algorithm, i.e., the algorithm would not need to know budgets of advertisers and therefore could be used in autobidding platforms. We present such an algorithm for Single-Valued, a special case of Small. However, an extension to Small failed because of failure of the No-Surpassing Property. Since the probabilistic ideas underlying our algorithm are quite substantial, we have stated them formally, after assuming the No-Surpassing Property, and we leave the open problem of removing this assumption.