Guaranteed Ad Targeting with Stable Precision
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United States of America Patent
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app pub date -
Nov 14, 2013
filing date -
Aug 6, 2013
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Abandoned
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Abstract
In one embodiment, a method trains a predictive model configured to predict a probability that advertisement (ad) impressions belong to a segment that is being targeted where the ad impressions are provided during sending of videos to users. A first threshold is determined in which the probability predicted from the predictive model is compared to determine whether ad impressions belong to the segment. A distribution probability used in the training of the predictive model is determined. The distribution probability is determined based on a characteristic for ad impressions on a site. Then, a changed distribution probability for the site is determined. The method further determines a second threshold in which the probability predicted from the predictive model is compared to determine whether ad impressions belong to the segment.
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