An optimal algorithm for on-line bipartite matching
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An optimal deterministic algorithm for online b-matching
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Combinatorial auctions with decreasing marginal utilities
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A new greedy approach for facility location problems
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Multi-unit auctions with budget-constrained bidders
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The Search: How Google and Its Rivals Rewrote the Rules of Business and Transformed Our Culture
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Truthful auctions for pricing search keywords
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Cell Breathing in Wireless LANs: Algorithms and Evaluation
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Allocating online advertisement space with unreliable estimates
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Maximizing throughput in multi-queue switches
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Online budgeted matching in random input models with applications to Adwords
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On-line bipartite matching made simple
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A Mechanism for On-line Advertisement Placement to Deter Click Fraud
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A Mechanism for On-line Advertisement Placement to Deter Click Fraud
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The adwords problem: online keyword matching with budgeted bidders under random permutations
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The Design of Competitive Online Algorithms via a Primal: Dual Approach
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Framework for timely and accurate ads on mobile devices
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VideoSense: a contextual in-video advertising system
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PageSense: style-wise web page advertising
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Optimal online assignment with forecasts
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Online bipartite matching with random arrivals: an approach based on strongly factor-revealing LPs
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How does a search engine company decide what ads to display with each query so as to maximize its revenue? This turns out to be a generalization of the online bipartite matching problem. We introduce the notion of a trade-off revealing LP and use it to derive an optimal algorithm achieving a competitive ratio of 1−1/e for this problem.