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首页> 外文期刊>ACM Transactions on Management Information Systems >Are Truthful Bidders Paying too Much? Efficiency and Revenue in Display Ad Auctions
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Are Truthful Bidders Paying too Much? Efficiency and Revenue in Display Ad Auctions

机译:诚实的竞买者付出了太多吗?展示广告拍卖的效率和收入

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摘要

Display ad auctions have become the predominant means to allocate user impressions on a website to advertisers. These auctions are conducted in milliseconds online, whenever a user visits a website. The impressions are typically priced via a simple second-price rule. For single-item auctions, this Vickrey payment rule is known to be incentive-compatible. However, it is unclear whether bidders should still bid truthful in an online auction where impressions (or items) arrive dynamically over time and their valuations are not separable, as is the case with campaign targets or budgets. The allocation process might not maximize welfare and the payments can differ substantially from those paid in an offline auction with a Vickrey-Clarke-Groves (VCG) payment rule or also competitive equilibrium prices. We study the properties of the offline problem and model it as a mathematical program. In numerical experiments, we find that the welfare achieved in the online auction process with truthful bidders is high compared to the theoretical worst-case efficiency, but that the bidders pay significantly more on average compared to what they would need to pay in a corresponding offline auction in thin markets with up to four bidders. However, incentives for bid shading in these second-price auctions decrease quickly with additional competition and bidders risk losing.
机译:展示广告竞价已成为将网站上的用户印象分配给广告商的主要手段。每当用户访问网站时,这些拍卖都会在几毫秒内在线进行。印象通常通过简单的第二价格规则定价。对于单项拍卖,此Vickrey付款规则众所周知是与激励兼容的。但是,尚不清楚投标人是否仍应在在线拍卖中以真实的价格进行投标,因为印象(或物品)会随着时间动态到达并且其估值不可分离,就像竞选目标或预算一样。分配过程可能不会使福利最大化,并且付款可能与使用Vickrey-Clarke-Groves(VCG)付款规则或竞争性均衡价格的离线拍卖中的付款有很大不同。我们研究离线问题的性质并将其建模为数学程序。在数值实验中,我们发现,与理论上最差的效率相比,诚实的竞标者在在线拍卖过程中获得的收益较高,但与相应的线下竞标者相比,其平均支付的价格要高得多在稀缺市场中进行拍卖,最多可有四个竞标者。但是,随着额外竞争的加剧,这些次高价拍卖中竞标底价的诱因迅速减少,竞标者有败诉的风险。

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