Ranked items auctions and online advertisement

Juan Feng, Zuo-Jun Max Shen, Roger Lezhou Zhan

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

27 Citations (Scopus)

Abstract

We study auctions for a set of commonly-ranked items where each buyer has unit demand. This setting has promising applications in areas such as keyword auctions in the search engine advertising industry, the sale of quality-ranked raw materials, etc. An auction mechanism suitable for this setting is the simultaneous pooled auction (SPA), where each bidder simultaneously submits a single bid and is allocated an object based on the rank of his bid among all the bids. We study how to improve the seller's expected revenue by enforcing a reserve price in an SPA. We find that the use of an appropriate reserve price may significantly increase the seller's revenue, especially when the number of items for sale is relatively large compared to the number of participating bidders. One inherent problem in the SPA is that some bidders may incur ex post losses; that is, they pay more than what they value the received objects. We propose a tailored VCG mechanism that generates the same expected revenue as the SPA does, while bidders do not incur any ex post loss. We also discuss the potential applications of this research to keyword auctions. © 2007 Production and Operations Management Society.
Original languageEnglish
Pages (from-to)510-522
JournalProduction and Operations Management
Volume16
Issue number4
DOIs
Publication statusPublished - Jul 2007
Externally publishedYes

Research Keywords

  • Online advertisement
  • Optimal cutoff type
  • Ranked items auctions
  • Reserve price
  • Revenue maximization

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