Online Stochastic Matching: New Algorithms with Better Bounds
نویسندگان
چکیده
منابع مشابه
Online Stochastic Matching: New Algorithms with Better Bounds
We consider variants of the online stochastic bipartite matching problem motivated by Internet advertising display applications, as introduced in Feldman et al. [6]. In this setting, advertisers express specific interests into requests for impressions of different types. Advertisers are fixed and known in advance while requests for impressions come online. The task is to assign each request to ...
متن کاملOnline Stochastic Matching: New Algorithms and Bounds
Online matching has received significant attention over the last 15 years due to its close connection to Internet advertising. As the seminal work of Karp, Vazirani, and Vazirani has an optimal (1 − 1/e) competitive ratio in the standard adversarial online model, much effort has gone into developing useful online models that incorporate some stochasticity in the arrival process. One such popula...
متن کاملNew Algorithms, Better Bounds, and a Novel Model for Online Stochastic Matching
Online matching has received significant attention over the last 15 years due to its close connection to Internet advertising. As the seminal work of Karp, Vazirani, and Vazirani has an optimal (1 − 1/e) competitive ratio in the standard adversarial online model, much effort has gone into developing useful online models that incorporate some stochasticity in the arrival process. One such popula...
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We study the online stochastic matching problem in a form motivated by Internet display advertisement. Recently, Feldman et al. gave an algorithm that achieves 0.6702 competitive ratio, thus breaking through the 1−1/e barrier. One of the questions left open in their work is to obtain a better competitive ratio by generalizing their two suggested matchings (TSM) algorithm to d-suggested matching...
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This results in this paper have been merged with the result in arXiv:1003.0167. The authors would like to withdraw this version. Please see arXiv:1008.5356 for the merged version.
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ژورنال
عنوان ژورنال: Mathematics of Operations Research
سال: 2014
ISSN: 0364-765X,1526-5471
DOI: 10.1287/moor.2013.0621