Similarity Learning-Based Device Attribution

04/26/2020

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by   , et al.

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Methods and systems for attributing browsing activity from two or more different network - connected devices to a single user are disclosed . In one aspect , cookies generated by the browsing activity of different unidentified devices at a website are received . A random forest classifier trained on probabilities output from a Gaussian mixture model is applied to the unidentified cookies to determine a probability that two different cookies were generated by the same user. In some embodiments , personalized content is then delivered to the user based on the characteristics of the paired cookies .