Clustering cookies for identifying unique mobile devices

Embodiments are directed towards clustering cookies for identifying unique mobile devices for associating activities over a network with a given mobile device. The cookies are clustered based on a Bayes Factor similarity model that is trained from cookie features of known mobile devices. The cluster...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: ZHANG LIANG, TSENG BELLE, GUREVICH MAXIM, THOMAS ACHINT OOMMEN, DASGUPTA ANIRBAN
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:Embodiments are directed towards clustering cookies for identifying unique mobile devices for associating activities over a network with a given mobile device. The cookies are clustered based on a Bayes Factor similarity model that is trained from cookie features of known mobile devices. The clusters may be used to determine the number of unique mobile devices that access a website. The clusters may also be used to provide targeted content to each unique mobile device.