Online Ad Auctions
By Hal R. Varian. 2009
175 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Marketing, Strategy and Management
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Nisheeth K. Vishnoi
- L. Elisa Celis
- Anay Mehrotra
- Jan Peters
- David Maxwell Chickering
- Munther A. Dahleh
- Dipankar Ray
- Hal R. Varian
In Marketing
- L. Elisa Celis
- Nisheeth K. Vishnoi
- Hal R. Varian
- Alessandro Acquisti
- Arun Sundararajan
- Jannis Kallinikos
- Richard Watt
- Stan J. Liebowitz
In Strategy and Management
- L. Elisa Celis
- Nisheeth K. Vishnoi
- Hal R. Varian
- Alessandro Acquisti
- Arun Sundararajan
- Jannis Kallinikos
- Richard Watt
- Stan J. Liebowitz
Citations in the corpus
- Counterfactual reasoning and learning systems: the example of computational advertising (2012, background): “Noteworthy examples include ad relevance estimated by human judges, and advertiser surplus estimated from the auctions (Varian, 2009).”
- Computer Mediated Transactions (2010, methodology): “Choi and Varian (2009b) and Choi and Varian (2009a) use real-time publicly available T. ELY LECTuRE search engine data to predict the current level of economic activity for automobile, real estate, retail trade, travel, and unemployment indicators .”
- Toward Controlling Discrimination in Online Ad Auctions (2019, background): “Further, it would be relevant to extend our framework to the (non-truthful) general second price auction [19,50], which is used to auction multiple ad slots together.”
- A Marketplace for Data: An Algorithmic Solution (2018, background): “Arguably, the most relevant real-time markets to compare against are: (i) online ad auctions (cf. Varian (2009)); (ii) prediction markets (cf. Wolfers & Zitzewitz (2004)).”