Volume 6346 of the series Lecture Notes in Computer Science pp 182-194
Online Stochastic Packing Applied to Display Ad Allocation
- Jon FeldmanAffiliated withGoogle Research
- , Monika HenzingerAffiliated withUniversity of Vienna
- , Nitish KorulaAffiliated withUniversity of Illinois at Urbana-Champaign
- , Vahab S. MirrokniAffiliated withGoogle Research
- , Cliff SteinAffiliated withGoogle Research and Columbia University
Abstract
Inspired by online ad allocation, we study online stochastic packing integer programs from theoretical and practical standpoints. We first present a near-optimal online algorithm for a general class of packing integer programs which model various online resource allocation problems including online variants of routing, ad allocations, generalized assignment, and combinatorial auctions. As our main theoretical result, we prove that a simple dual training-based algorithm achieves a (1 − o(1))-approximation guarantee in the random order stochastic model. This is a significant improvement over logarithmic or constant-factor approximations for the adversarial variants of the same problems (e.g. factor \(1-{1\over e}\) for online ad allocation, and log(m) for online routing). We then focus on the online display ad allocation problem and study the efficiency and fairness of various training-based and online allocation algorithms on data sets collected from real-life display ad allocation system. Our experimental evaluation confirms the effectiveness of training-based algorithms on real data sets, and also indicates an intrinsic trade-off between fairness and efficiency.
- Title
- Online Stochastic Packing Applied to Display Ad Allocation
- Book Title
- Algorithms – ESA 2010
- Book Subtitle
- 18th Annual European Symposium, Liverpool, UK, September 6-8, 2010. Proceedings, Part I
- Pages
- pp 182-194
- Copyright
- 2010
- DOI
- 10.1007/978-3-642-15775-2_16
- Print ISBN
- 978-3-642-15774-5
- Online ISBN
- 978-3-642-15775-2
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- 6346
- Series ISSN
- 0302-9743
- Publisher
- Springer Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- Additional Links
- Topics
- Industry Sectors
- eBook Packages
- Editors
-
- Mark de Berg (16)
- Ulrich Meyer (17)
- Editor Affiliations
-
- 16. Department of Mathematics and Computing Science, TU Eindhoven
- 17. Institute for Computer Science, J.W. Goethe University
- Authors
-
- Jon Feldman (18)
- Monika Henzinger (19)
- Nitish Korula (20)
- Vahab S. Mirrokni (18)
- Cliff Stein (21)
- Author Affiliations
-
- 18. Google Research, 76 9th Ave, New York, NY, 10011, U.S.A.
- 19. University of Vienna, Austria
- 20. University of Illinois at Urbana-Champaign,
- 21. Google Research and Columbia University, New York, NY
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