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PyData Tel Aviv Meetup: Probabilistic Cross Device Matching - Netta Shachar

2,445 views · Published 17 August 2017 · 25:24 · Indexed 10 November 2026

Channel: PyData · 2017 · Science & Technology

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Bridging the cross-device gap is probably the biggest challenge the ad-tech industry is facing today. Users spend more than 50% of their time on mobile devices, and it becomes crucial for advertiser to generate consistent message across all of the users' devices.

Crosswise, the leading provider of big data consumer identification solutions, has developed a probabilistic model that manages to match users' devices. By collecting activity data for billions of devices, and applying state-of-the-art machine-learning technology, crosswise is building a users’ identification graph spanning millions of users across the US.

Crosswise has developed a big-data analysis system capable of handling billions of activity points for billions of devices. The system matches the users activity signals across their devices, and is able to generate probabilistic matches with high confidence for millions of users.


PyData Tel Aviv Meetup #6
10 August 2017
Sponsored by Oracle
https://www.meetup.com/PyData-Tel-Aviv/

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