Cross-Device Tracking: Matching Devices and Cookies

October 05, 2015 · Declared Dead · 🏛 2015 IEEE International Conference on Data Mining Workshop (ICDMW)

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Authors Roberto Díaz-Morales arXiv ID 1510.01175 Category cs.LG: Machine Learning Cross-listed cs.CY Citations 22 Venue 2015 IEEE International Conference on Data Mining Workshop (ICDMW) Last Checked 3 months ago
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.
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