COMPONENT OPTIMIZATION OF BENEFIT COMPUTATION FOR THIRD PARTY SYSTEMS
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Jul 6, 2016
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Jul 6, 2016
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An online system identifies an impression opportunity for a target user of the online system. The online system accesses predictors for a third party system, each predictor determining a prediction value indicating a likelihood of users to provide a specified benefit to the third party system after a specified timeframe from the performance of a specified type of action by the users at the online system, each predictor trained using a training feature set extracted from an impressions log including metadata for past impression opportunities made to users. The online system determines a combined bid value for the third party system based on prediction values determined by the predictors trained for the third party system. In response to determining that the combined bid value for the third party system is a winning bid value, the online system presents a sponsored content from the third party system to the user.
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