Dijital reklamcilikta cihazlar arasi hedefleme

Translated title of the contribution: Cross device targeting for digital advertising

Hakan Toguc, Ridvan Salih Kuzu, Hazim Kemal Ekenel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Due to the convergence of digital marketing and advertising efforts with variety of digital devices like tablets, smartphones, PCs, smart TVs, and even wearable devices, tracking the relations among these devices has become a key component for personalised targeting of their users. This study proposes a new probabilistic cross device matching approach by depending on various machine learning algorithms along with a new dataset which can be used as a benchmark for future studies.

Translated title of the contributionCross device targeting for digital advertising
Original languageUndefined
Title of host publication27th Signal Processing and Communications Applications Conference, SIU 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728119045
DOIs
StatePublished - Apr 2019
Event27th Signal Processing and Communications Applications Conference, SIU 2019 - Sivas, Turkey
Duration: Apr 24 2019Apr 26 2019

Publication series

Name27th Signal Processing and Communications Applications Conference, SIU 2019

Conference

Conference27th Signal Processing and Communications Applications Conference, SIU 2019
Country/TerritoryTurkey
CitySivas
Period4/24/194/26/19

Keywords

  • Behavioural User Profiling
  • Browser Fingerprinting
  • Cross Device Targeting
  • Probabilistic Linking

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing

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