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Probabilistic matching is a complex way to identify a user’s identity. Data is generated by collecting anonymous data points from a user’s browsing behaviour. It is then compared to deterministic data points. Probabilistic data matching identifies users by matching them with a known user who exhibits similar browsing behaviour.

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