| 摘要 |
In embodiments of the present invention, improved capabilities are described for refining an economic valuation model, through machine learning, to evaluate information relating to a plurality of available placements, and predicting an economic valuation for each of the plurality of placements in response to receiving a request to place an advertisement for a publisher. In embodiments, the refinement through machine learning may include comparing economic valuation models by retrospectively comparing the extent to which the models reflect actual economic performance of advertisements. In embodiments, the economic valuation model may be used to select at least one of the plurality of available placements and present it to the publisher seeking to place an advertisement. In an alternate embodiment of the present invention, improved capabilities are described for deploying an economic valuation model that is refined through machine learning to evaluate information relating to a plurality of advertisements to predict an economic valuation for each of the plurality of advertisements, and selecting and presenting to a publisher at least one of the plurality of available advertisements based on the economic valuation of its placement within the available advertising placement.
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