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Online Ad Assignment with an Ad Exchange

机译:使用广告交换的在线广告分配

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摘要

Ad exchanges are becoming an increasingly popular way to sell advertisement slots on the internet. An ad exchange is basically a spot market for ad impressions. A publisher who has already signed contracts reserving advertisement impressions on his pages can choose between assigning a new ad impression for a new page view to a contracted advertiser or to sell it at an ad exchange. This leads to an online revenue maximization problem for the publisher. Given a new impression to sell decide whether (a) to assign it to a contracted advertiser and if so to which one or (b) to sell it at the ad exchange and if so at which reserve price. We make no assumptions about the distribution of the advertiser valuations that participate in the ad exchange and show that there exists a simple primal-dual based online algorithm, whose lower bound for the revenue converges to R_(ADX) + R_A(1 - 1/e), where R_(ADX) is the revenue that the optimum algorithm achieves from the ad exchange and R_A is the revenue that the optimum algorithm achieves from the contracted advertisers.
机译:广告交易所正在成为互联网上销售广告时隙的越来越受欢迎的方式。广告交换基本上是广告印象的现货市场。已经签署合同保留在他的页面上的广告印象的发布商可以选择为合同的广告商分配新的页面视图或在广告交换中销售它。这导致出版商的在线收入最大化问题。鉴于销售的新印象决定是否(a)将其分配给合同的广告商,如果是这样,一个或(b)在广告交易所销售它,如果是这样,则为预备价。我们没有关于参与广告交换的广告商估值的分布的假设,并表明存在简单的基于原始的基于在线在线算法,其收入将收敛到R_(ADX)+ R_A(1 - 1 / e),其中R_(ADX)是最佳算法从广告交换中实现的收入,R_A是最佳算法从合同广告商实现的收入。

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