A UCB-style bandit for multi-slot pay-per-click auctions under a position-based click model is shown to achieve logarithmic regret in theory and offline simulation.
Multiple-play bandits in the position-based model
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Optimizing Online Advertising with Multi-Armed Bandits: Mitigating the Cold Start Problem under Auction Dynamics
A UCB-style bandit for multi-slot pay-per-click auctions under a position-based click model is shown to achieve logarithmic regret in theory and offline simulation.