| 摘要 |
Estimating a number of unique ad impressions in a streaming video system includes defining parameters of an ad campaign and a desired number of ad impressions for the campaign. A computer system determines a discrete probability distribution of video advertising segments per unit time per client device in a population of video advertising segments streamed to a plurality of client devices, based on historical data. The system randomly samples the probability distribution without replacement, based on the defined number of desired ad impressions. An enhanced binary search algorithm may be used for the sampling. Each sample of the probability distribution identifies a number of ads streamed to a different client device in the probability distribution. The system determines, based on the sampling, a number of unique client devices included the samples, thus obtaining an estimate of unique ad impressions for the defined ad campaign. |
