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Abstract

A system and methods for providing accurate counting of advertisement impressions is described. The system and methods include bloom filter technology or other space-efficient probabilistic data structure algorithms to efficiently determine whether any particular advertisement impression across an enormous set of possibilities has been viewed previously or not, without having to search through every instance of rendering of any particular advertisement impression. The present system and methods include arrays of multiple bloom filters and manipulate them to correct for false positives when conditions create the risk of false positives that may have occurred during data capture on a browser. In addition, the system and methods generate unique qualification identifiers for advertising served, which is evaluated by the bloom filters before a count is incremented.

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First Claim