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 Randolph Preston McAfee

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Average citations per article6.04
Citation Count139
Publication count23
Publication years1981-2016
Available for download16
Average downloads per article355.81
Downloads (cumulative)5,693
Downloads (12 Months)1,017
Downloads (6 Weeks)122
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25 results found Export Results: bibtex | endnote | acmref | csv

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1
Usage Patterns and the Economics of the Public Cloud
Cinar Kilcioglu, Justin M. Rao, Aadharsh Kannan, R. Preston McAfee
April 2017 WWW '17: Proceedings of the 26th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 8,   Downloads (12 Months): 28,   Downloads (Overall): 28

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We examine the economics of demand and supply in cloud computing. The public cloud offers three main benefits to firms: 1) utilization can be scaled up or down easily; 2) capital expenditure (on-premises servers) can be converted to operating expenses, with the capital incurred by a specialist; 3) software can ...
Keywords: scale economies, economics, platform-as-a-service, cloud computing, infrastructure-as-a-service

2 published by ACM
When Does Improved Targeting Increase Revenue?
Patrick Hummel, R. Preston Mcafee
October 2016 ACM Transactions on Economics and Computation (TEAC): Volume 5 Issue 1, November 2016
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 30,   Downloads (12 Months): 216,   Downloads (Overall): 216

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In second-price auctions, we find that improved targeting via enhanced information disclosure decreases revenue when there are two bidders and increases revenue if there are at least four symmetric bidders with values drawn from a distribution with a monotone hazard rate. With asymmetries, improved targeting increases revenue if the most ...
Keywords: online auctions, position auctions, Targeting, revenue, advertising

3
Machine learning in an auction environment
Patrick Hummel, R. Preston McAfee
January 2016 The Journal of Machine Learning Research: Volume 17 Issue 1, January 2016
Publisher: JMLR.org
Bibliometrics:
Citation Count: 0

We consider a model of repeated online auctions in which an ad with an uncertain click-through rate faces a random distribution of competing bids in each auction and there is discounting of payoffs. We formulate the optimal solution to this explore/exploit problem as a dynamic programming problem and show that ...
Keywords: explore/exploit, machine learning, online advertising, auctions

4 published by ACM
Display Advertising Auctions with Arbitrage
June 2015 ACM Transactions on Economics and Computation: Volume 3 Issue 3, June 2015
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 6,   Downloads (12 Months): 37,   Downloads (Overall): 114

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Online display advertising exchanges connect Web publishers with advertisers seeking to place ads. In many cases, the advertiser obtains value from an ad impression (a viewing by a user) only if it is clicked, and frequently advertisers prefer to pay contingent on this occurring. But at the same time, many ...
Keywords: Auctions, arbitrage, mechanism design, efficiency, online advertising

5
When Does Improved Targeting Increase Revenue?
Patrick Hummel, R. Preston McAfee
May 2015 WWW '15: Proceedings of the 24th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1,   Downloads (12 Months): 55,   Downloads (Overall): 187

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In second price auctions with symmetric bidders, we find that improved targeting via enhanced information disclosure decreases revenue when there are two bidders and increases revenue if there are at least four bidders. With asymmetries, improved targeting increases revenue if the most frequent winner wins less than 30.4% of the ...
Keywords: advertising, targeting, online auctions, position auctions, revenue

6 published by ACM
Improving the Effectiveness of Time-Based Display Advertising
April 2015 ACM Transactions on Economics and Computation (TEAC) - Special Issue on EC'12, Part 2: Volume 3 Issue 2, April 2015
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 5,   Downloads (12 Months): 71,   Downloads (Overall): 192

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Display advertisements are typically sold by the impression, where one impression is simply one download of an ad. Previous work has shown that the longer an ad is in view, the more likely a user is to remember it and that there are diminishing returns to increased exposure time [Goldstein ...
Keywords: memory, time, Display, exposure, advertising, recall, recognition

7 published by ACM
To Match or Not to Match: Economics of Cookie Matching in Online Advertising
Arpita Ghosh, Mohammad Mahdian, R. Preston McAfee, Sergei Vassilvitskii
April 2015 ACM Transactions on Economics and Computation (TEAC) - Special Issue on EC'12, Part 2: Volume 3 Issue 2, April 2015
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 9,   Downloads (12 Months): 144,   Downloads (Overall): 318

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Modern online advertising increasingly relies on the ability to follow the same user across the Internet using technology called cookie matching to increase efficiency in ad allocation. Web publishers today use this technology to share information about the websites a user has visited, making it possible to target advertisements to ...
Keywords: information in auctions, Ad auctions, cookie matching

8 published by ACM
The cost of annoying ads
January 2015 ACM SIGecom Exchanges: Volume 13 Issue 2, December 2014
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 6,   Downloads (12 Months): 34,   Downloads (Overall): 88

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Display advertisements vary in the extent to which they annoy users. While publishers know the payment they receive to run annoying ads, little is known about the cost such ads incur due to user abandonment. We conducted two experiments to analyze ad features that relate to annoyingness and to put ...
Keywords: compensating differential, display, advertising, quality

9 published by ACM
The wisdom of smaller, smarter crowds
June 2014 EC '14: Proceedings of the fifteenth ACM conference on Economics and computation
Publisher: ACM
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 18,   Downloads (12 Months): 147,   Downloads (Overall): 368

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The "wisdom of crowds" refers to the phenomenon that aggregated predictions from a large group of people can rival or even beat the accuracy of experts. In domains with substantial stochastic elements, such as stock picking, crowd strategies (e.g. indexing) are difficult to beat. However, in domains in which some ...
Keywords: crowdsourcing, wisdom of crowds

10
Improving the effectiveness of time-based display advertising (extended abstract)
August 2013 IJCAI '13: Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 0

CPM or cost per thousand impressions is the prevalent metric used for selling online display ads. In previous work, we have shown that the exposure duration of an ad has strong effects on the likelihood of an ad being remembered [Goldstein et al., 2011], with the first seconds of exposure ...

11 published by ACM
June 2013 ACM SIGecom Exchanges: Volume 12 Issue 1, June 2013
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 0,   Downloads (12 Months): 5,   Downloads (Overall): 24

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This note describes our experience as 2013 ACM Electronic Commerce (EC) program chairs and summarizes a survey we ran after the program was complete.

12 published by ACM
The cost of annoying ads
May 2013 WWW '13: Proceedings of the 22nd international conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 6
Downloads (6 Weeks): 1,   Downloads (12 Months): 27,   Downloads (Overall): 268

Full text available: PDFPDF
Display advertisements vary in the extent to which they annoy users. While publishers know the payment they receive to run annoying ads, little is known about the cost such ads incur due to user abandonment. We conducted a two-experiment investigation to analyze ad features that relate to annoyingness and to ...
Keywords: compensating differential, display, advertising, quality

13 published by ACM
The ACM transactions on economics and computation: An introduction
Vincent Conitzer, R. Preston Mcafee
January 2013 ACM Transactions on Economics and Computation (TEAC): Volume 1 Issue 1, January 2013
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 48,   Downloads (Overall): 1,428

Full text available: PDFPDF

14 published by ACM
Improving the effectiveness of time-based display advertising
June 2012 EC '12: Proceedings of the 13th ACM Conference on Electronic Commerce
Publisher: ACM
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 2,   Downloads (12 Months): 11,   Downloads (Overall): 169

Full text available: PDFPDF
Display advertisements are typically sold by the impression, where one impression is simply one download of an ad. Previous work has shown that the longer an ad is in view, the more likely a user is to remember it and that there are diminishing returns to increased exposure time [Goldstein ...
Keywords: memory, time, display, exposure, advertising, recall, recognition

15 published by ACM
The effects of exposure time on memory of display advertisements
June 2011 EC '11: Proceedings of the 12th ACM conference on Electronic commerce
Publisher: ACM
Bibliometrics:
Citation Count: 10
Downloads (6 Weeks): 7,   Downloads (12 Months): 47,   Downloads (Overall): 229

Full text available: PDFPDF
Display advertising is a multi-billion dollar industry that has traditionally used a pricing scheme based on the number of impressions delivered. The number of impressions of an ad is simply the number of downloads of that ad. One impression, however, does not differentiate between an ad that is in view ...
Keywords: display, exposure, advertising, recall, recognition, memory, time

16 published by ACM
Who moderates the moderators?: crowdsourcing abuse detection in user-generated content
Arpita Ghosh, Satyen Kale, Preston McAfee
June 2011 EC '11: Proceedings of the 12th ACM conference on Electronic commerce
Publisher: ACM
Bibliometrics:
Citation Count: 24
Downloads (6 Weeks): 13,   Downloads (12 Months): 82,   Downloads (Overall): 516

Full text available: PDFPDF
A large fraction of user-generated content on the Web, such as posts or comments on popular online forums, consists of abuse or spam. Due to the volume of contributions on popular sites, a few trusted moderators cannot identify all such abusive content, so viewer ratings of contributions must be used ...
Keywords: moderation, user-generated content, crowdsourcing

17 published by ACM
Incentivizing high-quality user-generated content
Arpita Ghosh, Preston McAfee
March 2011 WWW '11: Proceedings of the 20th international conference on World wide web
Publisher: ACM
Bibliometrics:
Citation Count: 28
Downloads (6 Weeks): 8,   Downloads (12 Months): 46,   Downloads (Overall): 620

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We model the economics of incentivizing high-quality user generated content (UGC), motivated by settings such as online review forums, question-answer sites, and comments on news articles and blogs. We provide a game-theoretic model within which to study the problem of incentivizing high quality UGC, in which contributors are strategic and ...
Keywords: game theory, user generated content (ugc), attention economics, quality of online content

18
Value of learning in sponsored search auctions
December 2010 WINE'10: Proceedings of the 6th international conference on Internet and network economics
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 9

The standard business model in the sponsored search marketplace is to sell click-throughs to the advertisers. This involves running an auction that allocates advertisement opportunities based on the value the advertiser is willing to pay per click, times the click-through rate of the advertiser. The click-through rate of an advertiser ...

19
Bidding for Representative Allocations for Display Advertising
Arpita Ghosh, Preston Mcafee, Kishore Papineni, Sergei Vassilvitskii
December 2009 WINE '09: Proceedings of the 5th International Workshop on Internet and Network Economics
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 31

Display advertising has traditionally been sold via guaranteed contracts --- a guaranteed contract is a deal between a publisher and an advertiser to allocate a certain number of impressions over a certain period, for a pre-specified price per impression. However, as spot markets for display ads, such as the RightMedia ...

20
Sharing Online Advertising Revenue with Consumers
December 2008 WINE '08: Proceedings of the 4th International Workshop on Internet and Network Economics
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 3

Online service providers generate much of their revenue by monetizing user attention through online advertising. In this paper, we investigate revenue sharing , where the user is rewarded with a portion of the surplus generated from the advertising transaction, in a cost-per-conversion advertising system. While revenue sharing can potentially lead ...



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