| 摘要 |
A system for performing adaptive bidding to secure Internet advertising impressions in an auction. Included are systems for analyzing advertising campaign objectives, including a campaign period, a target number of impressions, a target budget. An exemplary technique defines a bidding agent for performing the adaptive bidding seeking the minimum target spending of the budget. Objective results of the campaign such as average cost per won impression, total campaign duration relative to desired campaign period, and total expenditure relative to campaign budget can be optimized based on an empirically determined forecast. Techniques for adapting bids include statistically modeling winning bids during an exploration bidding phase, performing iterations for adjustment of the bid amounts using learn-while-bid adaptive bidding, learn-then-bid adaptive bidding, and guess-double-adjust adaptive bidding. Bidding tactics, especially those used to identify a minimum target bid and a maximum target bid used in bidding on an exchange are employed, and the results analyzed using statistical models.
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