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Merging Multiple Information Sources in Federated Sponsored Search Auctions

机译:在联合赞助搜索拍卖中合并多个信息源

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摘要

The recent increase of domain{specific search engines, able to discover information unknown by general-purpose search engines, leads to their federation into a single entity, called federated search engine. In this paper, we focus on how it can effectively merge sponsored search results, provided by the domain-specific search engines, into a unique list. In particular, we discuss the case in which the same ad can be provided by multiple sources, which requires information about the ad to be merged. We approach the problem of merging and sharing the revenue using mechanism design techniques. The main impossibility result we obtain points out there exists no mechanism that satisfies the customarily required properties. Thus, we present several mechanisms that violate at most one of these properties, and we experimentally analyze them using a real-world Yahoo! dataset.
机译:领域{特定搜索引擎的最近增加,能够发现通用搜索引擎未知的信息,导致它们联合成为一个称为联合搜索引擎的实体。在本文中,我们关注于它如何有效地将特定于域的搜索引擎提供的赞助搜索结果合并到唯一列表中。特别是,我们讨论了可以由多个来源提供同一广告的情况,这需要合并有关该广告的信息。我们使用机制设计技术来解决合并和共享收益的问题。我们获得的主要不可能结果指出,没有一种机制可以满足习惯所需的属性。因此,我们提出了几种侵犯这些特性中的一种的机制,并使用真实世界的Yahoo!实验性地对其进行了分析。数据集。

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