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arXiv:1510.01175cs.LG

Cross-Device Tracking: Matching Devices and Cookies

Roberto Díaz-Morales

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Abstract

The number of computers, tablets and smartphones is increasing rapidly, which entails the ownership and use of multiple devices to perform online tasks. As people move across devices to complete these tasks, their identities becomes fragmented. Understanding the usage and transition between those devices is essential to develop efficient applications in a multi-device world. In this paper we present a solution to deal with the cross-device identification of users based on semi-supervised machine learning methods to identify which cookies belong to an individual using a device. The method proposed in this paper scored third in the ICDM 2015 Drawbridge Cross-Device Connections challenge proving its good performance.

arXiv comments
Journal reference
DOI
doi:10.1109/ICDMW.2015.244
Subjects
cs.LGMachine Learning cs.CYComputers and Society

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  1. After a week at my mom’s house I'm getting ads for her toothpaste brand 1 comment

    • Yep, this is called cross-device matching. Generally consists of some modeling for devices seen together on the same IP address. One of the notable AdTech companies in cross-device modeling is Drawbridge (purchased by LinkedIn). Here's a 2015 Kaggle competition that they hosted…

      hagyView on HNParent context

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